Patent Application
20190087623
The present disclosure relates to the field of smart terminals, and particularly to a method and an apparatus for fingerprint collection.
Fingerprints are ridges formed by uneven portions of epidermis on fingers. Features of ridges of the fingerprints are nearly unique and difficult to alter; therefore, features of the fingerprints are often used to identify one's identity (ID). A fingerprint sensor is a sensor that identifies a user ID through fingerprints.
For capacitive fingerprint sensors, when the fingerprint sensor is shipped, due to a manufacturing process, the fingerprint sensor will have some damaged sensing units among a plurality of sensing units contained in the fingerprint sensor. Meanwhile, in the process of using, the number of damaged sensing units may increase as a result of static electricity or other external conditions. Fingerprint image values collected by those damaged sensing units at different time points are very similar, resulting in an increase of the number of damaged sensing units, which in turn leads to an increase of fingerprint false recognition rate.
To illustrate the technical solutions embodied by the implementations of the present disclosure or by the related art more clearly, the following briefly introduces the accompanying drawings required for describing the implementations or the related art. Apparently, the accompanying drawings in the following description merely illustrate some implementations of the present disclosure. Those of ordinary skill in the art may also obtain other drawings based on these accompanying drawings without creative efforts.
The present disclosure will be further described in detail below with reference to the accompanying drawings and implementations. It should be understood that the exemplary implementations described herein are merely used to explain rather than limit the present disclosure. In addition, it should also be noted that, for the convenience of description, only some rather than all structures related to the present disclosure are illustrated in the accompanying drawings.
According to implementations of the disclosure, there is provided a method for fingerprint collection, which includes the following.
A damaged sensing unit among a plurality of sensing units contained in a fingerprint sensor is determined.
The plurality of sensing units is used to collect a fingerprint image when a fingerprint collecting event is detected, and a fingerprint image value collected by the damaged sensing unit is set to a random image value to form a fingerprint image collected by the fingerprint sensor.
As one implementation, the damaged sensing unit among the plurality of sensing units contained in the fingerprint sensor is determined as follows. A sensing unit that collects the same fingerprint image value for multiple times is determined as the damaged sensing unit among the plurality of sensing units.
As one implementation, the fingerprint image value collected by the damaged sensing unit can be set to the random image value as follows. Location information of the damaged sensing unit is acquired; the fingerprint image value collected by the damaged sensing unit is set to the random image value according to the location information of the damaged sensing unit.
As one implementation, the location information of the damaged sensing unit may include at least one of number information and coordinate information of the damaged sensing unit.
As one implementation, the method for fingerprint collection may further include the following after setting the fingerprint image value collected by the damaged sensing unit to the random image value. A preset fingerprint template image can be used to identify the fingerprint image collected by the fingerprint sensor to obtain a fingerprint identification result.
As one implementation, the fingerprint image value collected by the damaged sensing unit is set to the random image value according to the location information of the damaged sensing unit as follows. A distribution of the damaged sensing unit can be determined through at least one of the number information and the coordinate information of the damaged sensing unit. A preset random-image-value generating scheme is selected according to the distribution to generate the random image value, and then the fingerprint image value collected by the damaged sensing unit can be replaced with the random image value.
As one implementation, the method for fingerprint collection may further include the following after setting the fingerprint image value collected by damaged sensing unit to the random image value. The fingerprint image collected by the fingerprint sensor is stored as an enrolled fingerprint.
As one implementation, the fingerprint image value is a gray-scale value; the random image value is in a range of 0-255.
According to implementations of the disclosure, there is provided an apparatus for fingerprint collection, which includes a damaged-unit determining unit and a fingerprint-image collecting unit.
The damaged-unit determining unit is configured to determine a damaged sensing unit among a plurality of sensing units contained in a fingerprint sensor.
The fingerprint-image collecting unit is configured to use the plurality of sensing units to collect a fingerprint image when a fingerprint collecting event is detected, and set a fingerprint image value collected by the damaged sensing unit to a random image value to form a fingerprint image collected by the fingerprint sensor.
As one implementation, the damaged-unit determining unit is configured to determine a sensing unit that collects the same fingerprint image value for multiple times to be the damaged sensing unit among the plurality of sensing units.
As one implementation, the fingerprint-image collecting unit may include a location-information acquiring unit and a random-value filling unit.
The location-information acquiring unit is configured to acquire location information of the damaged sensing unit.
The random-value filling unit is configured to set the fingerprint image value collected by the damaged sensing unit to the random image value according to the location information of the damaged sensing unit.
As one implementation, the location information of the damaged sensing unit may include at least one of number information and coordinate information of the damaged sensing unit.
As one implementation, the apparatus for fingerprint collection may include an image identifying unit. The image identifying unit is configured to use a preset fingerprint template image to identify the fingerprint image collected by the fingerprint sensor to obtain a fingerprint identification result, after the random-value filling unit sets the fingerprint image value collected by the damaged sensing unit to the random image value.
As one implementation, the random-value filling unit is configured to determine a distribution of the damaged sensing unit through at least one of the number information and the coordinate information of the damaged sensing unit, select a preset random-image-value generating scheme according to the distribution to generate the random image value, and replace the fingerprint image value collected by the damaged sensing unit with the random image value.
According to implementations of the disclosure, there is provided a terminal, which includes a fingerprint sensor and an apparatus for fingerprint collection coupled with the fingerprint sensor.
The apparatus for fingerprint collection may include a damaged-unit determining unit and a fingerprint-image collecting unit.
The damaged-unit determining unit is configured to determine a damaged sensing unit among a plurality of sensing units contained in the fingerprint sensor.
The fingerprint-image collecting unit is configured to use the plurality of sensing units to collect a fingerprint image when a fingerprint collecting event is detected, and set a fingerprint image value collected by the damaged sensing unit to a random image value to form a fingerprint image collected by the fingerprint sensor.
As one implementation, the damaged-unit determining unit is configured to determine a sensing unit that collects the same fingerprint image value for multiple times to be the damaged sensing unit among the plurality of sensing units.
As one implementation, the fingerprint-image collecting unit may include a location-information acquiring unit and a random-value filling unit.
The location-information acquiring unit is configured to acquire location information of the damaged sensing unit.
The random-value filling unit is configured to set the fingerprint image value collected by the damaged sensing unit to the random image value according to the location information of the damaged sensing unit.
As one implementation, the location information of the damaged sensing unit may include at least one of number information and coordinate information of the damaged sensing unit.
As one implementation, the apparatus for fingerprint collection may further include an image identifying unit, configured to use a preset fingerprint template image to identify the fingerprint image collected by the fingerprint sensor to obtain a fingerprint identification result, after the random-value filling unit sets the fingerprint image value collected by the damaged sensing unit to the random image value.
As one implementation, the random-value filling unit is configured to determine a distribution of the damaged sensing unit through at least one of the number information and the coordinate information of the damaged sensing unit, select a preset random-image-value generating scheme according to the distribution to generate the random image value, and replace the fingerprint image value collected by the damaged sensing unit with the random image value.
At block 101, a damaged sensing unit among a plurality of sensing units of a fingerprint sensor is determined.
At block 102, a fingerprint image is collected with the plurality of sensing units when a fingerprint collection event is detected, and a fingerprint image value collected by the damaged sensing unit is set to a random image value to form a fingerprint image collected by the fingerprint sensor.
The fingerprint image value collected by the damaged sensing unit is set to the random image value as follows. The random image value is generated by selecting a preset random-image-value generating scheme according to a distribution of the damaged sensing unit.
As one implementation, the damaged sensing unit among the plurality of sensing units of the fingerprint sensor is determined as follows. A sensing unit that collects the same fingerprint image value for multiple times is determined to be the damaged sensing unit.
As one implementation, the fingerprint image value collected by the damaged sensing unit is set to the random image value as follows. Location information of the damaged sensing unit is acquired. The fingerprint image value collected by the damaged sensing unit is set to the random image value according to the location information of the damaged sensing unit.
As one implementation, the location information of the damaged sensing unit includes at least one of: number information and coordinate information of the damaged sensing unit.
As one implementation, after the fingerprint image value collected by the damaged sensing unit is set to the random image value, the method further includes the following. A preset fingerprint template image is used to identify the fingerprint image collected by the fingerprint sensor, to obtain a fingerprint identification result.
At block 110, a damaged sensing unit among a plurality of sensing units contained in a fingerprint sensor is determined. In the present disclosure, one damaged sensing unit is used as an example for explanation, obviously, a fingerprint sensor may have more than one damaged sensing unit and correspondingly, through this operation, one or more than one damaged sensing units can be determined.
The fingerprint sensor may be a capacitive fingerprint sensor. The capacitive fingerprint sensor works as follows. A finger is attached to a “panel” integrated with thousands of semiconductor devices to form one side of a capacitor. Since the finger has an uneven surface, the actual distance between a convex point and the panel is not the same as that between a concave point and the panel, and thus capacitance values formed are different.
The capacitive fingerprint sensor may contain a plurality of sensing units, for example, 160×160 sensing units. According to the difference of capacitance values of ridges and valleys of a fingerprint on the capacitive sensing units, positions of ridges and valleys can be determined. The operating process is as follows. A capacitive sensing unit at each pixel can be charged to a reference voltage, when a finger touches a capacitive fingerprint sensor, the sensing unit discharges. Since ridges are convex while valleys are concave and capacitance values vary with the distance, different capacitance values may be formed at ridges and valleys. The discharging speed for the ridges and the valleys is also different. The sensing unit at ridges has a high capacitance and discharges slowly; the sensing unit at valleys has a low capacitance and discharges quickly. As a result, positions of ridges and valleys can be detected according to the rate of discharge, so as to form fingerprint image data.
When shipped from the factory, due to a manufacturing process, a fingerprint sensor may have some damaged sensing units among a plurality of sensing units contained in the sensor. The damaged sensing unit collects the same image every time. The impact on fingerprint image is small when the number of damaged sensing units does not exceed a preset standard value. However, as the user uses the fingerprint sensor, the number of damaged sensing units will increase with the influence of static electricity or other external conditions. When the number of damaged sensing units exceeds the preset standard value, as the number of damaged sensing units increase, the fingerprint image recognition rate will decrease. The preset standard value may be 11 for example and this disclosure is not limited thereto.
Some capacitive fingerprint sensors come with a function of detecting damaged sensing units. For example, the fingerprint sensor can be set to a full-white or full-black mode. In the full-white mode, sensing units corresponding to non-white collected pixels are damaged sensing units. In the full-black mode, sensing units corresponding to non-black collected pixels are damaged sensing units.
For those fingerprint sensors that do not have the function of detecting damaged sensing units, whether a pixel in an image is changed each time the fingerprint sensor is used to collect the fingerprint image can be determined, so as to determine whether a sensing unit corresponding to the pixel is damaged.
At block 120, when a fingerprint collecting event is detected, the plurality of sensing units is used to collect a fingerprint image and a fingerprint image value collected by the damaged sensing unit is set to a random image value, so as to form a fingerprint image collected by the fingerprint sensor.
The fingerprint image value can be a gray-scale value. The random image value can be in a range of 0-255. The fingerprint image value collected by the damaged sensing unit is set to the random image value as follows. After the fingerprint sensor collects the fingerprint image, the fingerprint image value at a position corresponding to the damaged sensing unit is discarded and then replaced with the random image value between 0-255, therefore, a new fingerprint image is formed after the replacement. By setting the fingerprint image value collected by the damaged sensing unit to the random image value, for the damaged sensing unit, the fingerprint image values collected will be different.
According to the technical solutions of the disclosure, when the fingerprint collecting event is detected, the plurality of sensing units is used to collect the fingerprint image and the fingerprint image value collected by the damaged sensing unit is set to the random image value, so as to form the fingerprint image collected by the fingerprint sensor. In this way, it is possible to reduce the similarity of fingerprint image values collected by the damaged sensing unit at different times, and solve the problem that the fingerprint image values collected by the damaged sensing unit contained in the fingerprint sensor at different times have high similarity.
The second implementation provides a method for fingerprint collection on the basis of the first implementation. In this method, a fingerprint image value collected by a damaged sensing unit is set to a random image value as follows. Location information of the damaged sensing unit is acquired and then the fingerprint image value collected by the damaged sensing unit is set to the random image value according to the location information of the damaged sensing unit.
At block 210, a damaged sensing unit among a plurality of sensing units contained in a fingerprint sensor is determined.
In one implementation, the damaged sensing unit among a plurality of sensing units contained in a fingerprint sensor can be determined as follows. A sensing unit that collects the same fingerprint image value for multiple times is determined as the damaged sensing unit among the plurality of sensing units.
To be specific, when collecting different fingerprint images, if fingerprint image values collected by a certain sensing unit for multiple times are the same, it indicates that the sensing unit cannot distinguish between different fingerprint images, thereby this sensing unit can be determined as a damaged sensing unit.
At block 220, when a fingerprint collecting event is detected, the plurality of sensing units is used to collect a fingerprint image.
At block 230, location information of the damaged sensing unit is acquired.
It should be noted that the operation at block 230 can be performed together with that at block 210, that is, the location information and/or amount information of the damaged sensing unit can be determined during determining the damaged sensing unit.
In one implementation, the location information of the damaged sensing unit includes at least one of number information (such as ID, all the sensing unit may be numbered in advance and each sensing unit has a unique number) and coordinate information of the damaged sensing unit. The number information and coordinate information can be acquired based on the determination at block 201 and an overall layout (such as 160×160 sensing units) of the plurality of sensing units for example.
At block 240, according to the location information of the damaged sensing unit, the fingerprint image value collected by the damaged sensing unit is set to a random image value to form a fingerprint image collected by the fingerprint sensor.
In particular, a distribution of the damaged sensing unit can be determined through the number information and/or the coordinate information of the damaged sensing unit, then a preset random-image-value generating scheme can be selected according to the distribution to generate the random image value to replace the fingerprint image value. When one damaged sensing unit is determined or detected, the distribution may refer to the location of the damaged sensing unit. When multiple damaged sensing units are detected or determined, the distribution refers to locations or relative locations of the damaged sensing units among all the sensing unit of the fingerprint sensor.
After setting the fingerprint image value collected by the damaged sensing unit to the random image value, the method may further include the following. A preset fingerprint template image is used to identify the fingerprint image collected by the fingerprint sensor, to obtain a fingerprint identification result.
The term “fingerprint” used herein refers to uneven ridge lines on the epidermis at tail ends of fingers of human beings. The ridge lines are arrayed regularly to form different ridge patterns. Starting points, ending points, combining points, and bifurcation points of the ridge lines are known as minutiae feature points of the fingerprint. Fingerprint recognition refers to comparing minutiae feature points of different fingerprints for identification.
In particular, a rough comparison can be performed according to ridge patterns of fingerprints, and a precise comparison can be performed by using fingerprint morphology and minutiae features. The precise comparison can be achieved as follows. Pixel feature value of target pixels in a collected fingerprint image is first calculated; then pixel feature values of pixels in a preset fingerprint template image are acquired. The pixel feature value of each target pixel in the collected fingerprint image is compared with the pixel feature value of each corresponding pixel in the preset fingerprint template image to obtain the similarity between images. According to the similarity, a fingerprint identification result, which includes identification success or identification failure, can be generated.
According to the technical solutions of the implementations, the location information of the damaged sensing unit is acquired. According to the location information of the damaged sensing unit, the fingerprint image value collected by the damaged sensing unit is set to the random image value to form the fingerprint image collected by the fingerprint sensor. Then the preset fingerprint template image is used to identify the fingerprint image collected by the fingerprint sensor to obtain the fingerprint identification result. In this way, the similarity of fingerprint image values collected by the damaged sensing unit at different times can be reduced, and fingerprint false identification rate can be decreased. Therefore, it is possible to solve the problem that the fingerprint false identification rate increases with the number of damaged sensing units, which is caused by high similarity of the fingerprint image values collected by the damaged sensing unit contained in the fingerprint sensor at different times.
Based on the above implementations, an example of a method for fingerprint collection is provided.
At block 310, a sensing unit that collects the same fingerprint image value for multiple times is determined as a damaged sensing unit contained in a fingerprint sensor.
In addition, for a fingerprint sensor comes with a damaged sensing-unit detecting function, it is possible to determine the damaged sensing unit contained in the fingerprint sensor with aid of this function.
At block 320, when a fingerprint collecting event is detected, the plurality of sensing units is used to collect a fingerprint image and a fingerprint image value collected by the damaged sensing unit is set to a random image value to form a fingerprint image collected by the fingerprint sensor.
In one implementation, when detecting that a finger presses the fingerprint sensor, the sensing units of the fingerprint sensor can be used to collect a fingerprint image.
At block 330, the fingerprint image collected by the fingerprint sensor is stored as an enrolled fingerprint or is compared with a preset fingerprint template image to obtain a fingerprint identification result.
In one implementation, when the fingerprint sensor is in an enrolling mode, a fingerprint image collected by the fingerprint sensor is stored as an enrolled fingerprint; when the fingerprint sensor is in an identification mode, the fingerprint image collected by the fingerprint sensor is compared with the preset fingerprint template image, to obtain a fingerprint identification result.
According to the technical schemes, the sensing unit that collects the same fingerprint image value for multiple times is determined as the damaged sensing unit among the plurality of sensing units. The fingerprint image value collected by the damaged sensing unit is set to the random image value to form the fingerprint image collected by the fingerprint sensor. Then the fingerprint image collected by the fingerprint sensor is stored as the enrolled fingerprint or is compared with the preset fingerprint template image to obtain the fingerprint identification result. As a result, the similarity of fingerprint image values collected by the damaged sensing unit at different times can be reduced, and fingerprint false identification rate can be decreased. Therefore, it is possible to solve the problem that the fingerprint false identification rate increases with the number of damaged sensing units, which is caused by the high similarity of the fingerprint image values collected by the damaged sensing unit contained in the fingerprint sensor at different times.
The damaged-unit determining unit 410 is configured to determine a damaged sensing unit among a plurality of sensing units contained in a fingerprint sensor.
The fingerprint-image collecting unit 420 is configured to use the plurality of sensing units to collect a fingerprint image when a fingerprint collecting event is detected, and set a fingerprint image value collected by the damaged sensing unit to a random image value to form a fingerprint image collected by the fingerprint sensor.
Further, the damaged-unit determining unit 410 is configured to determine a sensing unit that collects the same fingerprint image value for multiple times to be the damaged sensing unit among the plurality of sensing units. To achieve this operation, the damaged-unit determining unit 410 may be provided with the function of a comparator.
Further, the fingerprint-image collecting unit 420 includes a location-information acquiring unit and a random-value filling unit.
The location-information acquiring unit is configured to acquire location information of the damaged sensing unit.
The random-value filling unit is configured to set the fingerprint image value collected by the damaged sensing unit to the random image value according to the location information of the damaged sensing unit. The random-value filling unit can be an operational circuit, an arithmetic device, and the like.
Further, the location information of the damaged sensing unit may include number information and/or coordinate information of the damaged sensing unit. The number information and/or the coordinate information can be binary codes for example.
In one implementation, the apparatus further includes an image identifying unit. The image identifying unit is configured to use a preset fingerprint template image to identify the fingerprint image collected by the fingerprint sensor to obtain a fingerprint identification result, after the random-value filling unit sets the fingerprint image value collected by the damaged sensing unit to the random image value. The image identifying unit can be an image comparator or a component equipped with image identifying function. The preset fingerprint template can be stored in a memory or a fingerprint database for example. In this regard, the image identifying unit may access the memory for the fingerprint template image.
The apparatus for fingerprint collection provided in this implementation belongs to the same inventive concept as the method for fingerprint collection provided in any of the implementations of the present disclosure and can perform the method. The apparatus for fingerprint collection has corresponding function units for implementing the method for fingerprint collection and can achieve corresponding advantageous effects. For technical details not described in detail in this implementation, reference may be made to the method for fingerprint collection of any implementation of the present disclosure.
The terminal may be a mobile phone, a tablet PC, or other devices that users hold. The present disclosure is not limited thereto.
In one implementation, there is provided a terminal. The terminal includes a fingerprint sensor 51 and an apparatus for fingerprint collection 52 coupled to the fingerprint sensor 51. Alternatively, as another implementation, the apparatus for fingerprint collection 52 can be built into the fingerprint sensor 51.
The apparatus for fingerprint collection 52 includes a damaged-unit determining unit and a fingerprint-image collecting unit.
The damaged-unit determining unit is configured to determine a damaged sensing unit among a plurality of sensing units contained in the fingerprint sensor.
The fingerprint-image collecting unit is configured to use the plurality of sensing units of the fingerprint sensor to collect a fingerprint image when a fingerprint collecting event is detected, and set a fingerprint image value collected by the damaged sensing unit to a random image value to form a fingerprint image collected by the fingerprint sensor.
In one implementation, the damaged-unit determining unit is configured to determine a sensing unit that collects the same fingerprint image value for multiple times to the damaged sensing unit among the plurality of sensing units.
In one implementation, the fingerprint-image collecting unit may include a location-information acquiring unit and a random-value filling unit.
The location-information acquiring unit is configured to acquire location information of the damaged sensing unit.
The random-value filling unit is configured to set the fingerprint image value collected by the damaged sensing unit to be the random image value according to the location information of the damaged sensing unit.
In an implementation, the location information of the damaged sensing unit may include at least one of number information and coordinate information of the damaged sensing unit.
In one implementation, the apparatus for fingerprint collection 52 may further include an image identifying unit. The image identifying unit is configured to use a preset fingerprint template image to identify the fingerprint image collected by the fingerprint-image collecting unit through the fingerprint sensor to obtain a fingerprint identification result, after the random-value filling unit sets the fingerprint image value collected by the damaged sensing unit to the random image value.
In one implementation, the random-value filling unit is configured to determine a distribution of the damaged sensing unit through at least one of the number information and the coordinate information of the damaged sensing unit, select a preset random-image-value generating scheme according to the distribution to generate the random image value, and replace the fingerprint image value collected by the damaged sensing unit with the random image value.
Furthermore, the terminal according to the implementation may further include a radio frequency (RF) circuit, a memory including at least one computer-readable storage medium, an input unit, a display unit, a sensor, an audio-frequency circuit, a wireless fidelity (WiFi) unit, a processor including at least one processing core, a power supply, and other components. Optionally, the apparatus for fingerprint collection provided in this implementation can be integrated into a processor.
According to the terminal of the implementation, the sensing unit that collects the same fingerprint image value for multiple times is determined to be the damaged sensing unit among the plurality of sensing units. Then the fingerprint image value collected by the damage sensing units is set to the random image value to form the fingerprint image collected by the fingerprint sensor. Meanwhile, the fingerprint image collected by the fingerprint sensor is stored as the enrolled fingerprint or compared with the preset fingerprint template image to obtain the fingerprint identification result. Therefore, the similarity of fingerprint image values collected by the damaged sensing unit at different times can be reduced, and fingerprint false identification rate can be decreased. Therefore, it is possible to solve the problem that the fingerprint false identification rate increases with the number of damaged sensing units, which is caused by the high similarity of the fingerprint image values collected by the damaged sensing unit contained in the fingerprint sensor at different times.
The damaged-unit determining module 610 is configured to determine a damaged sensing unit among a plurality of sensing units of a fingerprint sensor. The fingerprint-image collecting module 620 is configured to collect a fingerprint image with the plurality of sensing units when a fingerprint collection event is detected, and to set a fingerprint image value collected by the damaged sensing unit to a random image value to form a fingerprint image collected by the fingerprint sensor.
The fingerprint-image collecting module 620 configured to set the fingerprint image value collected by the damaged sensing unit to the random image value is configured to: generate the random image value by selecting a preset random-image-value generating scheme according to a distribution of the damaged sensing unit.
As one implementation, the damaged-unit determining module 610 is configured to determine a sensing unit that collects the same fingerprint image value for multiple times to be the damaged sensing unit. To achieve this operation, the damaged-unit determining module 610 may be provided with the function of a comparator.
As one implementation, the fingerprint-image collecting module 620 includes a location-information acquiring unit 620-1 and a random-value filling unit 620-2. The location-information acquiring unit 620-1 is configured to acquire location information of the damaged sensing unit. The random-value filling unit 620-2 is configured to set the fingerprint image value collected by the damaged sensing unit to the random image value according to the location information of the damaged sensing unit. The random-value filling unit 620-2 can be an operational circuit, an arithmetic device, and the like.
As one implementation, the location information of the damaged sensing unit includes at least one of: number information and coordinate information of the damaged sensing unit. The number information and/or the coordinate information can be binary codes for example.
As one implementation, the apparatus further includes an image identifying module 630. The image identifying module 630 is configured to use a preset fingerprint template image to identify the fingerprint image collected by the fingerprint sensor to obtain a fingerprint identification result, after the fingerprint image value collected by the damaged sensing unit is set to the random image value. The image identifying module 630 can be an image comparator or a component equipped with image identifying function. The preset fingerprint template can be stored in a memory or a fingerprint database for example. In this regard, the image identifying unit may access the memory for the fingerprint template image.
It should be noted that those of ordinary skill in the art may understand that all or part of the steps in the methods described in the foregoing implementations may be implemented by a program instructing relevant hardware. The program may be stored in a computer-readable storage medium, such as stored in a memory of a terminal and executed by at least one processor within the terminal. When executed, the method for fingerprint collection can be performed. The storage medium may include a read only memory (ROM), a random access memory (RAM), a magnetic disk, an optical disk, or the like.
It should be noted that the above is merely some implementations of the present disclosure and applied technical principles. Those skilled in the art should understand that the present disclosure is not limited to the implementations described herein. Various obvious changes, re-modifications, and substitutions can be made by those skilled in the art without departing from the scope of the present disclosure. Therefore, although the present disclosure has been described in detail by way of the above implementations, the present disclosure is not limited to the above implementations and other equivalent implementations may be included without departing from the concept of the present disclosure. However, the scope of the present disclosure shall be subject to the scope of the appended claims.
| Number | Date | Country | Kind |
|---|---|---|---|
| 201510679998.7 | Oct 2015 | CN | national |
This application is a continuation of U.S. application Ser. No. 15/934,296, filed on Mar. 23, 2018, which is a continuation of International Application No. PCT/CN2016/093753, filed on Aug. 5, 2016, which claims priority to Chinese Patent Application No. 201510679998.7, filed on Oct. 19, 2015, the contents of all of which are hereby incorporated by reference in their entireties.
| Number | Date | Country | |
|---|---|---|---|
| Parent | 15934296 | Mar 2018 | US |
| Child | 16197031 | US | |
| Parent | PCT/CN2016/093753 | Aug 2016 | US |
| Child | 15934296 | US |
