The subject disclosure generally relates to embodiments for facilitating live fingerprint detection utilizing an integrated ultrasound and infrared (IR) sensor.
Conventional fingerprint technologies are susceptible to fraudulent authentication when an image of a finger, a fingerprint replication medium, etc. has been presented to a sensor instead of a real finger. In this regard, conventional fingerprint technologies, e.g., capacitive finger print technologies, ultrasonic finger print technologies, etc. have had some drawbacks, some of which may be noted with reference to the various embodiments described herein below.
Non-limiting embodiments of the subject disclosure are described with reference to the following figures, wherein like reference numerals refer to like parts throughout the various views unless otherwise specified:
Aspects of the subject disclosure will now be described more fully hereinafter with reference to the accompanying drawings in which example embodiments are shown. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the various embodiments. However, the subject disclosure may be embodied in many different forms and should not be construed as limited to the example embodiments set forth herein.
As described above, convention fingerprint technologies have had some drawbacks with respect to being susceptible to fraudulent authentication. Various embodiments disclosed herein can improve fingerprint detection by utilizing an integrated ultrasound and CMOS-based IR sensor to perform temperature based authentication of a fingerprint.
For example, a device, e.g., a fingerprint sensor, etc. can comprise a first substrate, e.g., CMOS substrate, comprising an IR sensor, and a second substrate, e.g., a micro-electro-mechanical system (MEMS) substrate, comprising an ultrasonic transducer, e.g., a piezoelectric micromachined ultrasonic transducer (PMUT)—the MEMS substrate attached to a top portion of the CMOS substrate, e.g., using fusion bonds, eutectic bonds, etc.
In an embodiment, a temperature output of the IR sensor can facilitate a determination that a fingerprint output of the ultrasonic transducer corresponds to a finger being applied to the device, fingerprint sensor, etc.
In one embodiment, the IR sensor comprises a polysilicon-based thermocouple comprising a p-type polysilicon gate material in conjunction with an n-type polysilicon gate material. In another embodiment, the IR sensor can comprise multiple polysilicon-based thermocouples that can be arranged to form a thermopile to increase a strength of an output, e.g., voltage output, of the IR sensor, representing a temperature of the IR sensor.
In an embodiment, the IR sensor comprises an array of photonic crystals that are thermally coupled to the p-type polysilicon gate material and the n-type polysilicon gate material. In this regard, the array of photonic crystals comprises a geometric formation of a material that is designed to absorb desired wavelength(s) of radiation to enhance detection of incoming IR thermal radiation.
In one embodiment, the polysilicon-based thermocouple is formed above a chamber of the first substrate. In another embodiment, a top portion of the IR sensor, e.g., opposite the chamber, and a bottom portion of the IR sensor, e.g., adjacent to the chamber, comprise a vacuum.
In yet another embodiment, a method, e.g., of manufacture of a device, e.g., comprising a fingerprint sensor, can comprise forming an IR sensor on a CMOS substrate, e.g., in a dielectric material of a top portion of the CMOS substrate; forming an ultrasonic transducer on a MEMS substrate; positioning the MEMS substrate above the CMOS substrate; and attaching the MEMS substrate to the CMOS substrate, e.g., using fusion bonds, eutectic bonds, etc. In embodiment(s), such bonds can be performed, e.g., during manufacturing, at a wafer level, a device level, etc.
In an embodiment, the forming of the IR sensor comprises forming a thermocouple in the dielectric material. In one embodiment, a first material of the thermocouple is formed from polysilicon. Further, a second material of the thermocouple is formed from a metal (e.g., aluminum (Al), polysilicon with a doping that is opposite from another doping of the first material, etc. In this regard, in an embodiment, the first material can directly contact the second material, e.g., forming a junction at such contact. In another embodiment, the first material can be connected to the second material utilizing a conductive material, e.g., metal, etc.
In other embodiment(s), multiple combinations, pairs, etc. of materials found readily in CMOS process(es) can be used to form the thermocouple, e.g., the first material comprising p-poly and the second material comprising n-poly, the first material comprising p-poly and the second material comprising n-poly, the first/second material comprising p-poly and the second/first material comprising a metal (e.g., Al), the first/second material comprising n-poly and the second/first material comprising the metal, etc.
In one embodiment, a first output of the thermocouple can be formed via a p-type polysilicon gate material, and a second output of the thermocouple can be formed via an n-type polysilicon gate material—the p-type polysilicon gate material and the n-type polysilicon forming a junction. In an embodiment, a magnitude of a voltage caused by a Seebeck effect corresponding to the junction is greatest, e.g., compared with Seebeck effects corresponding to a p-poly/metal junction or an n-poly/metal junction.
In other embodiment(s), other CMOS silicon material(s), e.g., an n+ diffusion layer and a p+ diffusion layer, can be used to form the thermocouple. In this regard, one advantage of utilizing such diffused materials of a CMOS substrate is that corresponding portions of the IR sensor can be thermally isolated, or suspended, from other components, structures, etc. of the CMOS substrate.
In one embodiment, the forming of the thermocouple comprises forming the thermocouple above a chamber of the CMOS substrate. In another embodiment the method further comprises creating a vacuum in the chamber.
In another embodiment, the forming of the IR sensor comprises forming an array of photonic crystals in the dielectric material.
In another embodiment, a system can comprise a fingerprint sensor comprising an IR sensor of a CMOS substrate, and an ultrasonic transducer of a MEMS substrate—the MEMS substrate attached above the CMOS substrate using fusion bonding, eutectic bonding, etc. Further, the system can comprise a processing component configured to determine, based on an output of the IR sensor, whether the ultrasonic transducer has been contacted by a finger.
In an embodiment, the IR sensor comprises polysilicon comprising a thermopile. In this regard, the thermopile comprises thermocouples within a dielectric material of a top portion of the CMOS substrate. In one embodiment, an output of the IR sensor comprises a first portion of the polysilicon comprising a p-type gate polysilicon layer, and a second portion of the polysilicon comprising an n-type gate polysilicon layer.
In one embodiment, the IR sensor comprises an array of photonic crystals within the dielectric material. In another embodiment, the IR sensor is placed above a chamber of the CMOS substrate. In yet another embodiment, the chamber comprises a vacuum.
In an embodiment, a method can comprise obtaining, by a system comprising a processor, a fingerprint output of a fingerprint sensor—the fingerprint sensor comprising a MEMS substrate comprising an ultrasonic transducer, e.g., comprising an array of piezoelectric micromachined ultrasonic transducers (PMUTs), which has been bonded, e.g., using eutectic bonding, to a CMOS substrate comprising an IR sensor; obtaining, by the system, a temperature output of the IR sensor representing a temperature of the fingerprint sensor; and determining, by the system based on the temperature output, whether the fingerprint output represents that the fingerprint sensor has been touched by a finger.
In one embodiment, the IR sensor comprises a polysilicon-based thermopile comprising thermocouples, and an array of photonic crystals thermally coupled to the thermocouples. In this regard, a first output of the IR sensor corresponds to a p-type polysilicon gate material, a second output of the IR sensor corresponds to an n-type polysilicon gate material, and the p-type polysilicon gate material and the n-type polysilicon gate material are thermally coupled to the array of photonic crystals. Further, the obtaining of the temperature output comprises obtaining the temperature output via the first output and the second output.
In another embodiment, the determining whether the fingerprint output represents that the fingerprint sensor has been touched by the finger comprises determining whether the temperature output is greater than a defined average operating temperature of the CMOS substrate.
In yet another embodiment, the determining whether the temperature output is greater than the defined average operating temperature of the CMOS substrate comprises determining an operating temperature of the CMOS substrate, without contact by the finger, over a defined period of time, e.g., during a non-sensing period of operation of the fingerprint sensor.
In an embodiment, the operations further comprise determining, by the system, the fingerprint output via reflected ultrasonic signals corresponding to the array of PMUTs.
In one embodiment, the determining of the fingerprint output comprises modifying a fingerprint detection component, e.g., a gain of a receive circuit, a phase of the receive circuit, etc. based on the temperature output, and detecting, via the detection component, the reflected ultrasonic signals.
Reference throughout this specification to “one embodiment,” “an embodiment,” etc. means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. Thus, the appearances of the phrase “in one embodiment,” “in an embodiment,” etc. in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Conventional fingerprint technologies have had some drawbacks with respect to susceptibility to fraudulent authentication. On the other hand, various embodiments disclosed herein can improve fingerprint detection accuracy by bonding a MEMS based fingerprint sensor to a CMOS based IR sensor to facilitate a determination, based on a temperature output of the IR sensor, of whether the fingerprint sensor is sensing a finger.
In this regard, and now referring to
In embodiment(s), fingerprint sensor 110, PMUT transducers 120, etc. can comprise acoustic sensing elements, e.g., piezoelectric elements, which can generate and sense ultrasonic sound waves. In this regard, an object, e.g., a finger, in a path of a generated sound wave can create a disturbance, e.g., a change in frequency, a change in phase, a reflection, an echo, etc. of a signal that can be sensed. Interference corresponding to such disturbance can be analyzed to determine physical parameters such as, but not limited to, a distance of the object from the fingerprint sensor, a density of the object, a speed of the object, etc. For example, a difference in respective magnitudes of reflected signals corresponding to a ridge area of a finger and a valley area of the finger form the basis of creating a fingerprint image. In this regard, a reflected signal corresponding to the valley area of the finger is much higher in magnitude than a reflected signal corresponding to the ridge area of the finger, e.g., due to greater acoustic impedance mismatch at a surface of PMUT transducers 120.
In one embodiment, PMUT transducers 120 can be part of a sensor array comprising a plurality of ultrasonic transducers deposited on a wafer, along with various logic, control and communication electronics. In another embodiment, the sensor array can comprise homogenous or identical transducers, ultrasonic transducers, etc., or a number of different or heterogonous transducers, ultrasonic transducers, device structures, etc., e.g., comprising an array of capacitive micromachined ultrasonic transducers (CMUT) devices, etc.
In yet another embodiment, portion(s) of PMUT transducers 120 can be activated, e.g., utilizing fingerprint signals, during a transmit phase in which an acoustic signal is generated, e.g., during an active operational mode for fingerprint recognition. Further, reflected signal(s), echo(s), etc. can then be received, e.g., utilizing the fingerprint signals, during a receive phase. As described above, a difference in respective magnitudes of the reflected signal(s) corresponding to a ridge area of a finger and a valley area of the finger form the basis of creating a fingerprint image. In an embodiment, CMOS substrate 220 can comprise at least one drive circuit (not shown), for driving transmission of the respective acoustic signals from ultrasonic transducers of the PMUT devices. Further, CMOS substrate 220 can comprise at least one receive circuit (not shown) for receiving reflected signals, e.g., the interference signal(s), from the PMUT devices.
PMUT transducers 120 can comprise a two-dimensional array of ultrasonic transducers, e.g., as described by patent application Ser. No. 15/424,720, filed Feb. 3, 2017, and entitled “A SENSING DEVICE WITH A TEMPERATURE SENSOR”, the disclosure of which is hereby incorporated by reference in its entirety herein.
For example, in embodiment(s), PMUT transducers 120 can comprise, e.g., PMUT device 100, a two-dimensional array 700 of circular-shaped PMUT devices 701, a two-dimensional array 800 of square-shaped PMUT devices 801, a two-dimensional array 900 of hexagon-shaped PMUT devices 901, a pair of PMUT devices 1000 in a PMUT array, a PMUT device array 1200, a sensing device 1430, an array of ultrasonic transducers 1450, a transmit path architecture 1500 of a two-dimensional array of ultrasonic transducers, a receive path architecture 1600 of a two-dimensional array of ultrasonic transducers, etc. as described by the aforementioned patent application.
In other embodiment(s), fingerprint signals corresponding to PMUT transducers 120, e.g., corresponding to array of ultrasonic transducers 1450, can be exchanged between PMUT transducers 120 and, e.g., system circuitry 1440, control module 1460, memory 1470, external interface 1485, external device 1490, etc. as described by the aforementioned patent application.
In yet other embodiment(s), the fingerprint signals can correspond to selph_map signals of transmit path architecture 1500, select lines (e.g., 1610, 1620) of receive path architecture 1600, etc. as described by the aforementioned patent application.
Referring now to
IR sensor 140 comprises thermopiles 410 and 415, e.g., included within dielectric material 210. Thermopiles 410 and 415 comprise polysilicon based thermocouples connected in series—each thermocouple comprising first material 520 and second material 530 that are connected to form a junction that can generate a Seebeck effect based voltage. In this regard, in an embodiment illustrated by
In embodiment(s), first material 520 and second material 530 can comprise materials found readily in CMOS process(es), e.g., p-poly, n-poly, metal, etc. In this regard, in one embodiment, first material 520 can comprise a p-type polysilicon gate segment, and second material 530 can comprise an n-type polysilicon gate segment, e.g., with a doping that is opposite in polarity (e.g., within a defined range, e.g., +/−10%) from a doping, e.g., p-type, of first material 520.
For example, in one embodiment, first material 520 can comprise an n-type polysilicon gate segment, e.g., n-poly, while second material 530 can comprise a p-type polysilicon gate segment, e.g., p-poly. In another embodiment, first material 520 can comprise a metal, e.g., Al, and second material 530 can comprise n-poly/p-poly. In yet another embodiment, first material 520 can comprise an n+ diffusion layer, and second material 530 can comprise a p+ diffusion layer. In this regard, and now referring to a cross-sectional view of fingerprint sensor 110 illustrated by
IR sensor 140 further comprises array of photonic crystals 420, e.g., an array of IR absorbent photonic crystals, which is included within dielectric material 210. In this regard, as described below, array of photonic crystals 420 can be thermally coupled to first material 520 and second material 530 of corresponding thermocouples. In an embodiment, array of photonic crystals 420 comprises a geometric formation of a material, e.g., comprising IR absorbent photonic crystals, to facilitate absorption of desired wavelength(s) of radiation, e.g., to enhance detection of incoming IR thermal radiation, e.g., corresponding to a finger being applied to fingerprint sensor 110.
First material 520 and second material 530 can be thermally coupled to array of photonic crystals 420, and generate, via pair of temperature outputs 412 of thermopile 410 and pair of temperature outputs 417 of thermopile 415, respective voltages based on thermal energy—such voltages representing a temperature of IR sensor 140. As described below, a processing device, system, etc., e.g., processing component 610, can determine, based on the temperature, whether the finger input represents that a real finger has been touching, contacting, etc. fingerprint sensor 110.
Referring now to
In embodiment(s), fingerprint sensing system 600, fingerprint sensor 110, etc. can be used for analysis of acoustically sensed data in various applications, such as, but not limited to, medical applications, security systems, biometric systems (e.g., comprising fingerprint sensors and/or motion/gesture recognition sensors), mobile communication systems, industrial automation systems, consumer electronic devices, robotic/automated devices, etc. For example, processing component 610, fingerprint sensor 110, etc. can be included in a mobile device, mobile phone, user equipment, etc.
In one embodiment, processing component 610 can generate, sense, etc. ultrasonic signals, e.g., fingerprint signals, for determining a fingerprint, fingerprint image, etc. Further, processing component 610 can determine, based on a temperature output, e.g., pair of temperature outputs 412, pair of temperature outputs 417, etc. of fingerprint sensor 110, whether the fingerprint, fingerprint image, etc. corresponds to a real finger being applied to fingerprint sensor 110.
In this regard, processing component 610 can determine, e.g., via memory 620 and processor 630, whether the temperature output is greater than a defined average operating temperature of the CMOS substrate, fingerprint sensor 110, etc. For example, in an embodiment, processing component 610 can determine an operating temperature of the CMOS substrate without fingerprint sensor 110 being contacted by a finger over a defined period of time, sampling period, etc. Further, based on a determined average of the operating temperature, e.g., over a defined number of samples of the operating temperature, processing component 610 can determine that the fingerprint, fingerprint image, etc. corresponds to the real finger touching, contacting, etc. fingerprint sensor 110, e.g., in response to detecting that the temperature output is greater than the defined average operating temperature, in response to detecting that the temperature output is greater than a product of the defined average operating temperature and a defined multiple, multiplier, etc. of the defined average operating temperature, etc.
In one embodiment, processing component 610 can modify a fingerprint detection component (not shown), e.g., a gain of a receive circuit (not shown) of the fingerprint detection component, a phase of the receive circuit, etc. based on the temperature output. In another embodiment, based on the temperature output, processing component 610 can account for changes in an expected ultrasonic travel time, modify a timing of acoustic signals generated by the detection component, e.g., modify a gain of a driver circuit (not shown) of the fingerprint detection component, a phase of the driver circuit, etc. In yet another embodiment, processing component 610 can modify a receive window for receiving ultrasonic signals, e.g., reflected signals from fingerprint sensor 110, based on the temperature output.
In an embodiment, processing component 610 can be included in CMOS substrate 220, another substrate that has been attached, communicatively coupled, etc. to CMOS substrate 220, etc.
In one embodiment, fingerprint sensing system 600 can include a platen, e.g., platen 1216 as described by the aforementioned patent application. In this regard, fingerprint sensing system 600 can comprise a touch-screen display device (not shown) comprising the platen. In an embodiment, fingerprint sensor 110 can be disposed beneath, adjacent to, close to, etc. the touch-screen display device.
A human finger can make contact with the platen, and processing component 610 can, via fingerprint sensor 110, generate and receive ultrasonic signals coupled to the platen. Further, processing component 610 can perform, via fingerprint sensor 110, various operations, e.g., performed by processing logic module 140 as described by the aforementioned patent application, e.g., determine an image depicting epidermis and/or dermis layers of a finger.
In this regard, in response to determining, based on the temperature output, that the platen has been contacted, touched, etc. by a real finger, processing component 610 can further compare the image with a set of known fingerprint images to facilitate an identification and/or an authentication of a user identity. In one embodiment, in response to determining that the image satisfies a defined condition with respect to a fingerprint image of the set of known fingerprint images, e.g., in response to determining that the image matches the fingerprint image, processing component can authenticate the user identity, and enable a feature, an application, an operation, etc. of a corresponding device based on such authentication.
Referring now to
At 810, if it is determined that the temperature satisfies a defined condition representing the fingerprint sensor has been touched by a finger, e.g., that the temperature is greater than an average operating temperature of the fingerprint sensor, flow continues to 820, at which an identification and/or an authentication of a user identity can be facilitated, performed, etc.; otherwise flow returns to 710. For example, in an embodiment, performance of the identification and/or the authentication of the user identity can comprise determining whether the fingerprint output, image, etc. satisfies a defined condition with respect to a known fingerprint, e.g., that the image matches the known fingerprint. In this regard, if it is determined that the fingerprint output satisfies the defined condition with respect to the known fingerprint, the user identity can be authenticated, authorized, etc. For example, a feature, an application, an operation, etc. of a corresponding device can be enabled based on the user identity being authenticated, authorized, etc.
At 920, an ultrasonic transducer, an array of ultrasonic transducers, etc. can be formed on a MEMS substrate. At 930, the MEMS substrate can be positioned above the CMOS substrate. At 940, the MEMS substrate can be attached to the CMOS substrate using eutectic bonds.
In an embodiment illustrated by
As it employed in the subject specification, the terms “processor”, “processing component”, etc. can refer to substantially any computing processing unit or device, e.g., processing component 610, processor 630, etc., comprising, but not limited to comprising, single-core processors; single-processors with software multithread execution capability; multi-core processors; multi-core processors with software multithread execution capability; multi-core processors with hardware multithread technology; parallel platforms; and parallel platforms with distributed shared memory. Additionally, a processor can refer to an integrated circuit, an application specific integrated circuit (ASIC), a digital signal processor (DSP), a field programmable gate array (FPGA), a programmable logic controller (PLC), a complex programmable logic device (CPLD), a discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions and/or processes described herein. Further, a processor can exploit nano-scale architectures such as, but not limited to, molecular and quantum-dot based transistors, switches and gates, e.g., in order to optimize space usage or enhance performance of mobile devices. A processor can also be implemented as a combination of computing processing units, devices, etc.
In the subject specification, terms such as “memory” and substantially any other information storage component relevant to operation and functionality of fingerprint sensors and/or devices disclosed herein, e.g., memory 620, etc. refer to “memory components,” or entities embodied in a “memory,” or components comprising the memory. It will be appreciated that the memory can include volatile memory and/or nonvolatile memory.
By way of illustration, and not limitation, volatile memory, can include random access memory (RAM), which can act as external cache memory. By way of illustration and not limitation, RAM can include synchronous RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct Rambus dynamic RAM (DRDRAM), and/or Rambus dynamic RAM (RDRAM). In other embodiment(s) nonvolatile memory can include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM), or flash memory. Additionally, the fingerprint sensors and/or devices disclosed herein can comprise, without being limited to comprising, these and any other suitable types of memory.
Aspects of fingerprint sensors, apparatus, devices, processes, and process blocks explained herein can be embodied within hardware, such as an application ASIC or the like. In other embodiment(s), such aspects can constitute machine-executable instructions embodied within a machine, e.g., embodied in a computer readable medium (or media) associated with the machine. Such instructions, when executed by the machine, can cause the machine to perform the operations, process blocks, etc. described. Moreover, the order in which some or all of the process blocks appear in each process should not be deemed limiting. Rather, it should be understood by a person of ordinary skill in the art having the benefit of the instant disclosure that some of the process blocks can be executed in a variety of orders not illustrated.
Further, the word “exemplary” and/or “demonstrative” is used herein to mean serving as an example, instance, or illustration. For the avoidance of doubt, the subject matter disclosed herein is not limited by such examples. In addition, any aspect or design described herein as “exemplary” and/or “demonstrative” is not necessarily to be construed as preferred or advantageous over other aspects or designs, nor is it meant to preclude equivalent exemplary structures and techniques known to those of ordinary skill in the art having the benefit of the instant disclosure.
Furthermore, to the extent that the terms “includes,” “has,” “contains,” and other similar words are used in either the detailed description or the appended claims, such terms are intended to be inclusive—in a manner similar to the term “comprising” as an open transition word—without precluding any additional or other elements. Moreover, the term “or” is intended to mean an inclusive “or” rather than an exclusive “or”. That is, unless specified otherwise, or clear from context, “X employs A or B” is intended to mean any of the natural inclusive permutations. That is, if X employs A; X employs B; or X employs both A and B, then “X employs A or B” is satisfied under any of the foregoing instances. In addition, the articles “a” and “an” as used in this application and the appended claims should generally be construed to mean “one or more” unless specified otherwise or clear from context to be directed to a singular form.
The above description of illustrated embodiments of the subject disclosure, including what is described in the Abstract, is not intended to be exhaustive or to limit the disclosed embodiments to the precise forms disclosed. While specific embodiments and examples are described herein for illustrative purposes, various modifications are possible that are considered within the scope of such embodiments and examples, as those skilled in the relevant art can recognize.
In this regard, while the disclosed subject matter has been described in connection with various embodiments and corresponding Figures, where applicable, it is to be understood that other similar embodiments can be used or modifications and additions can be made to the described embodiments for performing the same, similar, alternative, or substitute function of the disclosed subject matter without deviating therefrom. Therefore, the disclosed subject matter should not be limited to any single embodiment described herein, but rather should be construed in breadth and scope in accordance with the appended claims below.
Number | Name | Date | Kind |
---|---|---|---|
5575286 | Weng et al. | Nov 1996 | A |
5684243 | Gururaja et al. | Nov 1997 | A |
5808967 | Yu et al. | Sep 1998 | A |
5867302 | Fleming | Feb 1999 | A |
6071239 | Cribbs et al. | Jun 2000 | A |
6289112 | Jain et al. | Sep 2001 | B1 |
6350652 | Libera et al. | Feb 2002 | B1 |
6428477 | Mason | Aug 2002 | B1 |
6500120 | Anthony | Dec 2002 | B1 |
6676602 | Barnes et al. | Jan 2004 | B1 |
6736779 | Sano et al. | May 2004 | B1 |
7067962 | Scott | Jun 2006 | B2 |
7109642 | Scott | Sep 2006 | B2 |
7243547 | Cobianu et al. | Jul 2007 | B2 |
7400750 | Nam | Jul 2008 | B2 |
7459836 | Scott | Dec 2008 | B2 |
7471034 | Schlote-Holubek et al. | Dec 2008 | B2 |
7489066 | Scott et al. | Feb 2009 | B2 |
7739912 | Schneider et al. | Jun 2010 | B2 |
8018010 | Tigli et al. | Sep 2011 | B2 |
8139827 | Schneider et al. | Mar 2012 | B2 |
8311514 | Bandyopadhay et al. | Nov 2012 | B2 |
8335356 | Schmitt | Dec 2012 | B2 |
8433110 | Kropp et al. | Apr 2013 | B2 |
8508103 | Schmitt et al. | Aug 2013 | B2 |
8515135 | Clarke et al. | Aug 2013 | B2 |
8666126 | Lee et al. | Mar 2014 | B2 |
8703040 | Liufu et al. | Apr 2014 | B2 |
8723399 | Sammoura et al. | May 2014 | B2 |
8805031 | Schmitt | Aug 2014 | B2 |
9056082 | Liautaud et al. | Jun 2015 | B2 |
9070861 | Bibl et al. | Jun 2015 | B2 |
9224030 | Du et al. | Dec 2015 | B2 |
9245165 | Slaby et al. | Jan 2016 | B2 |
9424456 | Kamath Koteshwara et al. | Aug 2016 | B1 |
9572549 | Belevich et al. | Feb 2017 | B2 |
9582102 | Setlak | Feb 2017 | B2 |
9607203 | Yazdandoost et al. | Mar 2017 | B1 |
9607206 | Schmitt et al. | Mar 2017 | B2 |
9613246 | Gozzini et al. | Apr 2017 | B1 |
9665763 | Du et al. | May 2017 | B2 |
9747488 | Yazdandoost et al. | Aug 2017 | B2 |
9785819 | Oreifej | Oct 2017 | B1 |
9815087 | Ganti et al. | Nov 2017 | B2 |
9817108 | Kuo et al. | Nov 2017 | B2 |
9818020 | Schuckers et al. | Nov 2017 | B2 |
9881195 | Lee et al. | Jan 2018 | B2 |
9881198 | Lee et al. | Jan 2018 | B2 |
9898640 | Ghavanini | Feb 2018 | B2 |
9904836 | Yeke Yazdandoost et al. | Feb 2018 | B2 |
9909225 | Lee et al. | Mar 2018 | B2 |
9922235 | Cho et al. | Mar 2018 | B2 |
9934371 | Hong et al. | Apr 2018 | B2 |
9939972 | Shepelev et al. | Apr 2018 | B2 |
9953205 | Rasmussen | Apr 2018 | B1 |
9959444 | Young et al. | May 2018 | B2 |
9967100 | Hong et al. | May 2018 | B2 |
9983656 | Merrell et al. | May 2018 | B2 |
9984271 | King et al. | May 2018 | B1 |
10275638 | Yousefpor et al. | Apr 2019 | B1 |
10408797 | Apte et al. | Sep 2019 | B2 |
20020135273 | Mauchamp et al. | Sep 2002 | A1 |
20030013955 | Poland | Jan 2003 | A1 |
20030148620 | Chavan | Aug 2003 | A1 |
20030215974 | Kawasaki | Nov 2003 | A1 |
20040085858 | Khuri-Yakub et al. | May 2004 | A1 |
20040122316 | Satoh et al. | Jun 2004 | A1 |
20040174773 | Thomenius et al. | Sep 2004 | A1 |
20050057284 | Wodnicki | Mar 2005 | A1 |
20050110071 | Ema et al. | May 2005 | A1 |
20050145964 | Suzuki | Jul 2005 | A1 |
20050146240 | Smith et al. | Jul 2005 | A1 |
20050148132 | Wodnicki et al. | Jul 2005 | A1 |
20050162040 | Robert | Jul 2005 | A1 |
20060052697 | Hossack et al. | Mar 2006 | A1 |
20060079777 | Karasawa | Apr 2006 | A1 |
20070046396 | Huang | Mar 2007 | A1 |
20070073135 | Lee et al. | Mar 2007 | A1 |
20070202252 | Sasaki | Aug 2007 | A1 |
20070215964 | Khuri-Yakub et al. | Sep 2007 | A1 |
20070230754 | Jain et al. | Oct 2007 | A1 |
20080125660 | Yao et al. | May 2008 | A1 |
20080150032 | Tanaka | Jun 2008 | A1 |
20080194053 | Huang | Aug 2008 | A1 |
20090005684 | Kristoffersen et al. | Jan 2009 | A1 |
20090128714 | Taya | May 2009 | A1 |
20090182237 | Angelsen et al. | Jul 2009 | A1 |
20090274343 | Clarke | Nov 2009 | A1 |
20090303838 | Svet | Dec 2009 | A1 |
20100030076 | Vortman et al. | Feb 2010 | A1 |
20100168583 | Dausch et al. | Jul 2010 | A1 |
20100195851 | Buccafusca | Aug 2010 | A1 |
20100201222 | Adachi et al. | Aug 2010 | A1 |
20100202254 | Roest et al. | Aug 2010 | A1 |
20100213373 | Meinel | Aug 2010 | A1 |
20100239751 | Regniere | Sep 2010 | A1 |
20100251824 | Schneider et al. | Oct 2010 | A1 |
20100256498 | Tanaka | Oct 2010 | A1 |
20100278008 | Ammar | Nov 2010 | A1 |
20110285244 | Lewis et al. | Nov 2011 | A1 |
20110291207 | Martin et al. | Dec 2011 | A1 |
20120016604 | Irving et al. | Jan 2012 | A1 |
20120092026 | Liautaud et al. | Apr 2012 | A1 |
20120095347 | Adam et al. | Apr 2012 | A1 |
20120147698 | Wong et al. | Jun 2012 | A1 |
20120232396 | Tanabe | Sep 2012 | A1 |
20120238873 | Lacoste et al. | Sep 2012 | A1 |
20120238876 | Tanabe et al. | Sep 2012 | A1 |
20120279865 | Regniere et al. | Nov 2012 | A1 |
20120288641 | Diatezua et al. | Nov 2012 | A1 |
20130051179 | Hong | Feb 2013 | A1 |
20130064043 | Degertekin et al. | Mar 2013 | A1 |
20130127592 | Fyke et al. | May 2013 | A1 |
20130133428 | Lee et al. | May 2013 | A1 |
20130201134 | Schneider et al. | Aug 2013 | A1 |
20130294202 | Hajati | Nov 2013 | A1 |
20140060196 | Falter et al. | Mar 2014 | A1 |
20140117812 | Hajati | May 2014 | A1 |
20140176332 | Alameh et al. | Jun 2014 | A1 |
20140208853 | Onishi | Jul 2014 | A1 |
20140219521 | Schmitt et al. | Aug 2014 | A1 |
20140232241 | Hajati | Aug 2014 | A1 |
20140265721 | Robinson et al. | Sep 2014 | A1 |
20140355387 | Kitchens et al. | Dec 2014 | A1 |
20150036065 | Yousefpor et al. | Feb 2015 | A1 |
20150087991 | Chen et al. | Mar 2015 | A1 |
20150097468 | Hajati et al. | Apr 2015 | A1 |
20150145374 | Xu et al. | May 2015 | A1 |
20150164473 | Kim et al. | Jun 2015 | A1 |
20150165479 | Lasiter et al. | Jun 2015 | A1 |
20150169136 | Ganti et al. | Jun 2015 | A1 |
20150189136 | Chung et al. | Jul 2015 | A1 |
20150198699 | Kuo et al. | Jul 2015 | A1 |
20150206738 | Rastegar | Jul 2015 | A1 |
20150213180 | Herberholz | Jul 2015 | A1 |
20150220767 | Yoon et al. | Aug 2015 | A1 |
20150261261 | Bhagavatula et al. | Sep 2015 | A1 |
20150286312 | Kang et al. | Oct 2015 | A1 |
20150345987 | Hajati | Dec 2015 | A1 |
20150357375 | Tsai | Dec 2015 | A1 |
20160051225 | Kim et al. | Feb 2016 | A1 |
20160063294 | Du et al. | Mar 2016 | A1 |
20160086010 | Merrell et al. | Mar 2016 | A1 |
20160092716 | Yazdandoost et al. | Mar 2016 | A1 |
20160100822 | Kim et al. | Apr 2016 | A1 |
20160107194 | Panchawagh et al. | Apr 2016 | A1 |
20160326477 | Fernandez-Alcon et al. | Nov 2016 | A1 |
20170075700 | Abudi et al. | Mar 2017 | A1 |
20170100091 | Eigil et al. | Apr 2017 | A1 |
20170110504 | Panchawagh et al. | Apr 2017 | A1 |
20170119343 | Pintoffl | May 2017 | A1 |
20170168543 | Dai et al. | Jun 2017 | A1 |
20170219536 | Koch et al. | Aug 2017 | A1 |
20170231534 | Agassy et al. | Aug 2017 | A1 |
20170293791 | Mainguet et al. | Oct 2017 | A1 |
20170322290 | Ng et al. | Nov 2017 | A1 |
20170322291 | Salvia et al. | Nov 2017 | A1 |
20170322292 | Salvia et al. | Nov 2017 | A1 |
20170322305 | Apte et al. | Nov 2017 | A1 |
20170323133 | Tsai | Nov 2017 | A1 |
20170326590 | Daneman | Nov 2017 | A1 |
20170326591 | Apte et al. | Nov 2017 | A1 |
20170326593 | Garlepp et al. | Nov 2017 | A1 |
20170326594 | Berger et al. | Nov 2017 | A1 |
20170328870 | Garlepp et al. | Nov 2017 | A1 |
20170330012 | Salvia et al. | Nov 2017 | A1 |
20170330552 | Garlepp et al. | Nov 2017 | A1 |
20170330553 | Garlepp et al. | Nov 2017 | A1 |
20170357839 | Yazdandoost et al. | Dec 2017 | A1 |
20180206820 | Anand et al. | Jul 2018 | A1 |
20180349663 | Garlepp et al. | Dec 2018 | A1 |
20180357457 | Rasmussen et al. | Dec 2018 | A1 |
20180369866 | Sammoura et al. | Dec 2018 | A1 |
20190102046 | Miranto et al. | Apr 2019 | A1 |
Number | Date | Country |
---|---|---|
1 214 909 | Jun 2002 | EP |
2 884 301 | Jun 2015 | EP |
2011-040467 | Feb 2011 | JP |
101700998 | Jan 2017 | KR |
2009096576 | Aug 2009 | WO |
2009137106 | Nov 2009 | WO |
2014035564 | Mar 2014 | WO |
2015009635 | Jan 2015 | WO |
2015112453 | Jul 2015 | WO |
2015120132 | Aug 2015 | WO |
2015131083 | Sep 2015 | WO |
2015183945 | Dec 2015 | WO |
2016007250 | Jan 2016 | WO |
2016011172 | Jan 2016 | WO |
2016040333 | Mar 2016 | WO |
2017003848 | Jan 2017 | WO |
2017192895 | Nov 2017 | WO |
2017192903 | Nov 2017 | WO |
2017196678 | Nov 2017 | WO |
2017196682 | Nov 2017 | WO |
Entry |
---|
International Search Report dated Sep. 6, 2018 for PCT Application No. PCT/US2018/029352, 18 pages. |
Smith, Steven W. “Moving Average Fillers”, The Scientist & Engineer's Guide to Digital Signal Processing, Chapter 15, 1999, 8 pages. |
“Receiver Thermal Noise Threshold”, Fisher Telecommunication Services, Satellite Communications. [http//www.fishercom.xyz:80/satellite-communications/receiverthermal-noise-threshold.html] Last updated Jan. 13, 2020, retrieved on Mar. 29, 2020, 3 pages. |
“ZTE Blade V7 Max” ZTE Devices, [https://ztedevices.com.my/index.php/2016/09/01/blade-v7-max/], Sep. 1, 2016, retrieved on Mar. 29, 2020, 7 pages. |
International Preliminary Report on Patentability dated Nov. 26, 2019 for PCT Application No. PCT/US2018/029352, 11 pages. |
Non-Final Office Action received for U.S. Appl. No. 15/424,720 dated Jan. 9, 2019, 32 pages. |
International Search Report and Written Opinion received for PCT Application Serial No. PCT/US2017/031140 dated Nov. 2, 2017, 16 pages. |
International Search Report and Written Opinion received for PCT Application Serial No. PCT/US2017/031826 dated Feb. 28, 2018, 16 pages. |
Tang, et al., “Pulse-Echo Ultrasonic Fingerprint Sensor on a Chip”, IEEE Transducers, Anchorage, Alaska, USA, Jun. 21-25, 2015, pp. 674-677. |
Dausch, et al., “Theory and Operation of 2-D Array Piezoelectric Micromachined Ultrasound Transducers”, IEEE rransactions on Ultrasonics, and Frequency Control, vol. 55, No. 11 ;, Nov. 2008, 2484-2492. |
Hopcroft, et al., “Temperature Compensation of a MEMS Resonator Using Quality Factor as a Thermometer”, Retrieved from Internet: http://micromachine_stanford_edu/-amanu/linked/MAH_MEMS2006.pdf, 2006, 222-225. |
Hopcroft, et al., “Using the temperature dependence of resonator quality factor as a thermometer”, Applied Physics Letters 91 _ Retrieved from Internet: http://micromachine.stanford.edu/-hopcroft/Publications/Hopcroft_QT_ApplPhysLett_91_013505.pdf, 2007, 013505-1-031505-3. |
Lee, et al., “Low jitter and temperature stable MEMS oscillators”, Frequency Control Symposium (FCS), 2012 IEEE International, May 2012, 1-5. |
Li, et al., “Capacitive micromachined ultrasonic transducer for ultra-low pressure measurement: Theoretical study”, AIP advances 5. 12. Retrieved from Internet: http://scitation_aip.org/content/aip/journal/adva/5/12/10.1063/1.4939217, 2015, 127231. |
Qie et al., “Piezoelectric Micromachined Ultrasound Transducer (PMUT) Arrays for Integrated Sensing, Actuation and Imaging”, Sensors 15, doi:10.3390/s150408020, Apr. 3, 2015, 8020-8041. |
Savoia, et al., “Design and Fabrication of a cMUT Probe for Ultrasound Imaging of Fingerprints”, 2010 IEEE International Ultrasonics Symposium Proceedings, Oct. 2010, 1877-1880. |
Shen, et aL, “Anisotropic Complementary Acoustic Metamaterial for Canceling out Aberrating Layers”, American Physical Society, Physical Review X 4-4: 041033., Nov. 19, 2014, 041033-1-041033-7. |
Thakar, et al., “Multi-resonator approach to eliminating the temperature dependence of silicon-based timing references”, Hilton Head'14. Retrieved from the Internet: http:J/blog_narotama_ac_id/wp-content/uploads/2014/12/Multiresonator-approach-to-eliminating-the-temperature-dependance-of-silicon-based-timing-references_pdf, 2014, 415-418. |
ISA/EP, International Search Report and Written Opinion for International Application No. PCT/US2017/031120, 10 pages, dated Aug. 29, 2017 (Aug. 29, 2017). |
ISA/EP, International Search Report and Written Opinion for International Application No. PCT/US2017/031134, 10 Pages, dated Aug. 30, 2017 (Aug. 30, 2017). |
ISA/EP, International Search Report and Written Opinion for International Application No. PCT/US2017/031421, 11 Pages, dated Jun. 21, 2017 (Jun. 21, 2017). |
ISA/EP, International Search Report and Written Opinion for International Application No. PCT/US2017/031426 11 pages, dated Jun. 22, 2017 (Jun. 22, 2017). |
ISA/EP, International Search Report and Written Opinion for International Application No. PCT/US2017/031431, 12 Pages, dated Aug. 1, 2017 (Aug. 1, 2017). |
ISA/EP, International Search Report and Written Opinion for International Application No. PCT/US2017/031434, 11 Pages, dated Jun. 26, 2017 (Jun. 26, 2017). |
ISA/EP, International Search Report and Written Opinion for International Application No. PCT/US2017/031439, 8 pages, dated Jun. 20, 2017 (Jun. 20, 2017). |
ISA/EP, International Search Report and Written Opinion for International Application No. PCT/US2017/031824, 16 pages, dated Sep. 22, 2017 (Sep. 22, 2017). |
ISA/EP, International Search Report and Written Opinion for International Application No. PCT/US2017/031827, 14 Pages, dated Aug. 1, 2017 (Aug. 1, 2017). |
ISA/EP, International Search Report and Written Opinion for International Application No. PCT/US2017/031831, 10 Pages, dated Jul. 21, 2017 (Jul. 21, 2017). |
International Search Report and Written Opinion received for PCT Application Serial No. PCTUS2017031823 dated Aug. 17, 2017, 10 pages. |
Rozen, et al., “Air-Coupled Aluminum Nitride Piezoelectric Micromachined Ultrasonic Transducers at 0.3 MHZ to 0.9 MHZ”, 2015 28th IEEE International Conference on Micro Electro Mechanical Systems (MEMS), IEEE, Jan. 18, 2015, 921-924. |
Zhou, et al., “Partial Fingerprint Reconstruction with Improved Smooth Extension”, Network and System Security, Springer Berlin Heidelberg, Jun. 3, 2013, 756-762. |
“ISA/EP, International Search Report and Written Opinion for International Application# PCT/US2018/063431, 14 pages, dated Feb. 5, 2019 (Feb. 5, 2019)”. |
Ross, et al., “From Template to Image: Reconstructing Fingerprints from Minutiae Points”, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society, vol. 29, No. 4, Apr. 2007, 544-560. |
Pang, et al., “Extracting Valley-Ridge Lines from Point-Cloud-Based 3D Fingerprint Models”, IEEE Computer Graphics and Applications, IEEE Service Center, New York, vol. 33, No. 4, Jul./Aug. 2013, 73-81. |
“Sleep Mode”, Wikipedia, Retrieved from the Internet: URL:https://web.archive.org/web/20170908153323/https://en.Wikipedia.org/wiki/Sleep mode[retrieved on Jan. 25, 2019], Sep. 8, 2017, 1-3. |
“TMS320C5515 Fingerprint Development Kit (FDK) Hardware Guide”, Texas Instruments, Literature No. SPRUFX3, XP055547651, Apr. 2010, 1-26. |
Kumar, et al., “Towards Contactless, Low-Cost and Accurate 3D Fingerprint Identification”, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society, vol. 37, No. 3, Mar. 2015, 681-696. |
“ISA/EP, International Search Report and Written Opinion for International Application# PCT/US2019/015020, 13 pages, dated Jul. 1, 2019 (Jul. 1, 2019)”. |
“ISA/EP, International Search Report and Written Opinion for International Application# PCT/US2019/023440, 9 pages, dated Jun. 4, 2019 (Jun. 4, 2019)”. |
Cappelli, et al., “Fingerprint Image Reconstruction from Standard Templates”, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society, vol. 29, No. 9, Sep. 2007, 1489-1503. |
Feng, et al., “Fingerprint Reconstruction: From Minutiae to Phase”, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society, vol. 33, No. 2, Feb. 2011, 209-223. |
Number | Date | Country | |
---|---|---|---|
20180336390 A1 | Nov 2018 | US |