Ensuring the provenance of passengers at a transportation facility

Information

  • Patent Grant
  • 9142070
  • Patent Number
    9,142,070
  • Date Filed
    Friday, November 8, 2013
    11 years ago
  • Date Issued
    Tuesday, September 22, 2015
    9 years ago
  • Inventors
  • Original Assignees
  • Examiners
    • McNally; Kerri
    • Dorsey; Renee
    Agents
    • Foley & Lardner LLP
    • Lanza; John D.
Abstract
The provenance of passengers intending to depart on a vehicle from a transportation facility, is ensured by providing biometric reading devices at both a check-in station and a departure area station of the facility. The name and/or other information concerning a passenger arriving at the facility is also entered for assessment into a background check system. A biometric template of the passenger is acquired by the reading device at the check-in station and forwarded to the departure area station. When the passenger appears at the latter station, a second biometric template is acquired by the reading device there. The second template is compared with each of a number of templates that were forwarded from the check-in station. If no match exists, or if the background check system returns an unsatisfactory assessment, the passenger is refused boarding onto the vehicle.
Description
BACKGROUND OF THE INVENTION

1. Field of the Invention


The present invention concerns a system and process for ensuring the provenance of passengers who intend to board a vehicle at a transportation facility such as, e.g., a commercial airport.


2. Discussion of the Known Art


Certain public transportation systems or facilities must ensure the provenance of each passenger before allowing him or her to board a vehicle such as a commercial aircraft at the facility. As used herein, “provenance” implies (i) knowledge that a given person who has checked into a transportation facility is the same person who later appears at a departure area (gate) of the facility or who actually enters the vehicle, and (ii) knowledge of the person with respect to (a) the ability of him or her to pass successfully through immigration or other checks on arrival, and (b) a security assessment based, for example, on a background check in order to quantify a risk the passenger might pose to other individuals (passengers or otherwise) if allowed to board the vehicle. Knowledge of both the mentioned items (i) and (ii) will therefore allow a determination to be made of the passenger's overall fitness for travel through the facility.


U.S. Pat. No. 6,119,096 (Sep. 12, 2000) relates to a system and method for automated aircraft boarding and passenger billing, wherein passenger check-in and boarding is determined by the use of an iris recognition system in conjunction with associated passenger accounts. The patent does not address privacy issues concerning the anonymity of the biometric record, or certain instances in actual deployments wherein data attempted to be acquired from the iris is insufficient alone for recognition of a particular passenger (e.g., a blind person whose eyelids are closed) without other information. In addition, the patent is not concerned with the fitness of prospective passengers for boarding and traveling on an aircraft, nor does it disclose particular billing methods that may be optimal with respect to the transportation carrier or organization.


SUMMARY OF THE INVENTION

The present invention ensures the provenance of passengers in a transportation system without disrupting the flow of passenger movement through the system. The inventive system and process increases the level of passenger provenance above levels afforded by the known automated systems, while at the same time allowing for rapid passenger throughput.


According to one aspect of the invention, a process for ensuring the provenance of passengers in a transportation system includes providing a first biometric reading device at a first station associated with a check-in area of a transportation facility, providing a second biometric reading device at a second station associated with a departure or boarding area of the facility, acquiring a first biometric template of a given passenger arriving at the check-in area using the first reading device, and entering a name or other information corresponding to the given passenger into a background check system.


The acquired first biometric template is forwarded from the first station to the second station, and a second biometric template of the given passenger is acquired using the second reading device when the passenger appears at the second station associated with the departure or boarding area. The second biometric template is compared with each of a number of biometric templates forwarded to the second station from the first station and corresponding to all passengers who have checked in for departure on the same vehicle as the given passenger. The existence of a match between the second biometric template and one of the biometric templates forwarded from the first station is then determined.


For a better understanding of the invention, reference is made to the following description taken in conjunction with the accompanying drawing and the appended claims.





BRIEF DESCRIPTION OF THE DRAWING

In the drawing:



FIG. 1 is a flow chart representing steps of a process for ensuring the provenance of passengers, according to the invention; and



FIG. 2 is a block diagram of one embodiment of a system for implementing the process of FIG. 1, according to the invention.





DETAILED DESCRIPTION OF THE INVENTION


FIG. 1 is a flow chart showing various steps of the inventive process for ensuring the provenance of passengers arriving at a transportation facility for travel. FIG. 2 is a block diagram showing one embodiment of a system for implementing the process according to the invention.


Basically, one or more stations are constructed and arranged to ensure that a given person who arrives and checks in at a transportation facility such as, for example, an airport, is the same person who later appears at a departure area or who actually boards a departing vehicle (e.g., a commercial aircraft). At least one biometric reading or enrollment station 12 is set up at a check-in location or area 14, and at least one biometric reading station 16 is set up in the vicinity of a gate or boarding area 18 where authorized passengers are allowed to enter a vehicle 30 for departure.


The meaning of the term “check-in” as used herein may vary depending on the particular implementation. For example, a “check-in” may correspond to a time when a certain level of confidence has been established (as may be required by an airline company) that a person who has presented himself or herself upon arriving at an airport, is actually the person they claim to be. This may be accomplished, for example, by verifying the prospective passenger's previous trip history, by comparing the person with his or her passport photo, or by verifying a biometric taken of the person at the station 12 against a biometric known to have been previously acquired for the person. Other definitions of “check-in” may also apply in the present invention.


The station 12 at the check-in location 14 serves to capture a biometric template of the prospective passenger. A commercially available biometric device provided at the station 12 is preferably capable of imaging at least the passenger's iris, since the iris is known to be more unique to a given individual than facial or fingerprint biometric. A suitable device for this purpose is the “HBox” system available from Global Rainmaker Inc., of New York. The HBox system has the advantage of acquiring both the face and the iris of an individual unobtrusively. As mentioned earlier, there may be instances where iris scanning is not suitable for certain individuals, and a device capable of acquiring other biometrics such as the passenger's face and/or fingerprint should be available at the enrollment station 12.


When there is no pre-existing biometric template for the passenger, a template may be captured (or “enrolled”) for him or her by the device at the station 12. This template is then stored in a trusted database 20. If the passenger already has a biometric template in an existing trusted database 20, then a biometric template of the person may be read at the station 12 simply for verification with the pre-existing template, or no further reading may occur at this time.


Once a biometric for the prospective passenger has either been acquired, or recalled from the database 20 by the station 12 at check-in, the passenger is allowed to leave the check-in location 14. In cases where the passenger has previously enrolled in the system, the passenger may bypass the check-in location 14 and go directly to the second station 16. Knowledge that the passenger's biometric template requires transfer from the database 20 to the second station 16, may be provided by a known passenger control system such as, e.g., a so-called Departure Control System (DCS) used in air travel transportation systems. The DCS contains information concerning all passengers who are expected to leave on every flight from every gate of an airport facility.


The passenger's biometric template is made available to at least the second biometric reading station 16 located near the boarding area 18 for the transportation vehicle 30. At the second station 16, a biometric of the passenger is read by a second biometric device that may be the same or similar to the device(s) provided at the first station 12. The biometric read at the second station 16 is then compared with a number of biometric templates that have been forwarded from the secure database 20, using the DCS information to determine at which boarding area (or gate) 18 each of the passengers are expected to appear for departure.


If a biometric match is found, then the passenger is allowed entry and his or her record is flagged as being “about-to-board” with respect to the transportation vehicle 30. If a biometric match is not found, then the passenger is refused entry to the vehicle 30. If a failure-to-acquire error occurs in the biometric reading process, then standard manual checking processes may be invoked. Since it is contemplated that a vast majority of passengers will have their individual biometrics read successfully, minimal human resources are needed to manage those occasions requiring manual verification.


Additional biometric reading devices may be set up at other strategic locations, for example, at a security check point or other secure area, for continuously informing transportation employees of those passengers who are present. This arrangement may be used, for example, for purposes of passenger management and preventing persons not authorized to travel from entering the secure areas.


It may not be necessary to maintain a master registration database and/or to associate a biometric template with a passenger name or other personal information in a location out of the control of the individual. This simplifies compliance with privacy rules that vary widely from country to country, and can limit the transfer of data from one location to another. Also, this can be important in a transportation system where passengers frequently travel between countries under different jurisdictions. For example, in one instantiation, the credentials of the passenger are verified automatically (e.g., by a credit-card reader) or manually (e.g., by a check-in agent) and at the same time biometric data (e.g., the iris and face) for the passenger is acquired. The biometric data is stored, but is not associated with the passenger's name or other information that can be used to identify the individual. The biometric data is associated only with details of the journey on which the passenger is booked, such as, e.g., a flight number, flight departure time, and gate number. This biometric data is stored and sent to the biometric acquisition device at the second station where passenger provenance is to be verified.


For example, the second system may be located at the boarding gate. When the passenger arrives at the gate, the biometric system acquires biometric data for the passenger and then performs one-to-many matching through all the biometric data that is associated with the gate and the flight number, without the ability to associate a name or other identifying information to the individual. If biometric data acquired at the second biometric system matches any of the biometric data acquired at the first system where document verification was performed, then the passenger is expected on that journey, even though the name of the passenger is unknown to the system. Conversely, if a biometric match is not found, then the passenger is not expected on that journey and can be denied travel.


The above-mentioned second system requires biometrics that are capable of one-to-many matching, and are also capable of matching all individuals. A preferred embodiment uses an unobtrusive biometric acquisition system for both system one and system two, such as the HBox system provided by Global Rainmaker Inc, New York, N.Y., USA. This system acquires data for both the face and the iris since, as mentioned, in some cases insufficient iris area is available to rely on recognition alone, without additional information. This can be due to a physical ailment or other factors, and the face biometric is then used to supplement the iris biometric.


It is noted that the use of “anonymous” biometrics as disclosed herein for transportation systems and facilities, can also be used to provide information to users—for example, a flight number may be stored with a record as well as a generic “frequent flier” status of a given passenger, without any personal identifying information for the passenger. In this way, preferred customers may be treated differently, or any flight information for any customer may be provided without knowing their identity, thus helping to overcome privacy regulations.


Another feature of the inventive technique resides in preventing the entry of passengers who are not able to pass immigration or other checks on arrival, as well as flagging in real time those passengers who pose a greater security threat than that posed by other passengers. Specifically, at the time of the passenger's check-in or earlier, personal information such as, e.g., the name and the address of the passenger is collected. This information is then entered into an available manual or automatic background check system 22. Such systems typically provide an assessment rating or level of the individual's fitness-for-travel. One such system is the Personnel Assessment and Screening System (PASS) developed by L3 SyColeman.


The background check and the fitness-for-travel assessment are performed before the prospective passenger arrives at the boarding area 18. If the passenger is required to check in, then any uncertainty concerning the provenance of the passenger can be investigated immediately by designated employees at the check-in location 14 without affecting existing security processes, and before accepting the passenger's baggage (if any) for check in.


In any event, it is preferred that the fitness-for-travel assessment be completed before the passenger reaches a security checkpoint. In the latter case, a biometric reading device provided at the checkpoint acquires a biometric template. In a biometric match process, a search is performed through a database of all passengers who are due to pass though the gate(s) serviced by the security checkpoint.


For example, the DCS comprises a database containing at least the name, flight number and gate number associated with the passenger. That information is used to index into the secure database 20 containing the biometric information for the prospective passengers. The gate(s) serviced by the security checkpoint and the current time are used to index into the DCS to determine which passengers are expected at the security checkpoint. The biometric data for these passengers are then downloaded into the biometric system. This process is performed repeatedly over time such that new biometric data is added to the biometric system at the checkpoint as later flights are expected to leave, and old biometric information corresponding to flights earlier in the day are removed from the biometric system at the security checkpoint.


If a record is found, then the fitness-for-travel assessment may be used by security personnel to determine a specific course of action with respect to the passenger. If no record is found, then the subject has not checked in and is therefore not a valid passenger. For security or customer service reasons, a manual check may also be made in order to confirm the rejection.


Various approaches may be taken for recovering costs involved in setting up and operating a system according to the invention. In one approach, costs for the vast majority (if not all) of the equipment and information technology (IT) services required to set up a passenger provenance system according to the invention, are paid by an entity other than the carrier (e.g., airline company) that owns or operates the vehicle 30. The entity recovers the set up cost by levying a fee on each passenger. The fee may be paid directly by the passenger to the entity, or may be paid indirectly by the passenger to the carrier who in turn compensates the entity. The latter process may be implemented by allowing the carrier to levy a “passenger provenance fee” on the ticket purchase price, wherein a portion (or all) of the fee is automatically credited to the entity.


In one example, the biometric identification of the user is not used as a means to bill the individual user. This approach can increase the cost of travel to users of the biometric system, whereas the cost of travel remains the same for non-users of the biometric system who require more costly manual processing to maintain passenger provenance. One possible solution is to charge a single fee on all tickets within certain categories of travel, such as within domestic or international travel. This approach also simplifies or eliminates billing to the customer thereby reducing cost and increasing customer satisfaction.


The entity may be credited when it has performed the passenger provenance service for the transportation carrier. This can be performed automatically, for example, by treating the biometric read portion at the time of check-in as a “transaction” that authorizes a payment to be made from the carrier to the entity. The value of the transaction may vary depending on the particular configuration of passenger provenance system that the entity purchases. For example, the transportation carrier may require that the passenger background checks be performed randomly, or be performed only in response to a particular concern expressed by the check-in staff.


When a background check is performed, an additional “transaction” may be recorded so that a particular entity which performs the background check is compensated via an additional fee for each individual checked. The additional fee may be recovered, for example, by increasing the standard levy on all passengers so that, on average, the costs for all background checks as well as for the set-up and maintenance of the inventive passenger provenance system, are recovered.


In summary, the process and system disclosed herein operate to ensure that a given person who initially checks in at a transportation facility is the same person who appears at a departure area or who actually boards a departing vehicle, without having to identify the passenger by his/her name. That is, there is no need to associate the passenger's name with a corresponding biometric template acquired by the system. If a biometric template A is “enrolled” at the facility's check-in location for flight F, then the system need only ensure that the same template A appears later at the departure area for flight F. Measures are also provided to prevent boarding of those passengers who may not be able to pass through immigration or other background checks taken on arrival at the facility, and to enable flagging in real time of certain passengers who pose a potentially greater security threat in relation to other passengers. Approaches for recovering costs associated with the inventive process and system using means acceptable on the part of passengers and the transportation carrier, have also been described.


While the foregoing represents preferred embodiments of the invention, it will be understood by those skilled in the art that various modifications and changes may be made without departing from the spirit and scope of the invention, and that the invention includes all such modifications and changes as come within the scope of the following claims.

Claims
  • 1. A method for ensuring the provenance of an individual, comprising: acquiring a first biometric template at a first location;storing the acquired first biometric template with an anonymous indicator comprising one of: a gate number or location identifier, a flight or transportation number, an immigration or other status, a security risk, or a time specification, without any associated information that uniquely identifies an owner of the first biometric template;acquiring a second biometric template at a second location;determining, using the anonymous indicator stored with the first biometric template and without using any associated information that uniquely identifies the owner, if the owner of the first biometric template is expected at the second location; andperforming, responsive to determining that the owner of the first biometric template is expected at the second location using the anonymous indicator, biometric matching of the second biometric template at the second location without using any associated information that uniquely identifies the individual.
  • 2. The method of claim 1, wherein the first biometric template corresponds to a biometric that is capable of one-to-many matching.
  • 3. The method of claim 1, comprising performing biometric matching of the second biometric template via one-to-many matching.
  • 4. The method of claim 1, comprising storing the acquired first biometric template at a location in the control of the owner of the first biometric template.
  • 5. The method of claim 1, comprising storing the acquired first biometric template in a secure database.
  • 6. The method of claim 5, comprising selecting a set of biometric templates of passengers expected to be at the second location by indexing into the secure database using the anonymous indicator and without using any associated information that uniquely identifies the owner of the first biometric template, to transmit to the second location for the biometric matching.
  • 7. The method of claim 1, wherein acquiring the first biometric template comprises acquiring a biometric template of an iris.
  • 8. The method of claim 1, comprising denying access to the owner of the first biometric template at the second location if the biometric matching of the second biometric template is unsuccessful.
  • 9. The method of claim 1, wherein acquiring the first biometric template further comprises establishing a confidence level in the identity of the owner, that the owner is actually a person the owner claims to be.
  • 10. The method of claim 1, comprising ensuring privacy of the owner or reducing storage requirements by storing the first biometric template without any associated information that uniquely identifies the owner of the first biometric template.
  • 11. A system for ensuring the provenance of an individual, the system comprising: a first biometric acquisition device at a first location, configured to acquire a first biometric template, wherein the acquired first biometric template is stored with an anonymous indicator comprising one of: a gate number or location identifier, a flight or transportation number, an immigration or other status, a security risk, or a time specification, without any associated information that uniquely identifies an owner of the first biometric template; anda second biometric acquisition device at a second location, configured to acquire a second biometric template at a second location, and further configured to, without using any associated information that uniquely identifies the owner: determine if the owner of the first biometric template is expected at the second location using the anonymous indicator, andperform biometric matching of the second biometric template at the second location responsive to determining that the owner of the first biometric template is expected at the second location.
  • 12. The system of claim 11, wherein the first biometric template corresponds to a biometric that is capable of one-to-many matching.
  • 13. The system of claim 11, wherein the second biometric acquisition device is configured to perform biometric matching of the second biometric template via one-to-many matching.
  • 14. The system of claim 11, wherein the acquired first biometric template is stored at a location in the control of the owner of the first biometric template.
  • 15. The system of claim 11, comprising a database configured to store the acquired first biometric template.
  • 16. The system of claim 15, wherein the database is configured to select a set of biometric templates of passengers expected to be at the second location, to transmit to the second location for the biometric matching, by indexing into the database using the anonymous indicator and without using any associated information that uniquely identifies the owner of the first biometric template.
  • 17. The system of claim 11, wherein the first biometric acquisition device is configured to acquire the first biometric template comprising a biometric template of an iris.
  • 18. The system of claim 11, wherein the second biometric acquisition device is configured to deny access to the owner of the first biometric template at the second location if the biometric matching of the second biometric template is unsuccessful.
  • 19. The system of claim 11, wherein the first biometric acquisition device is configured to establish a confidence level in the identity of the owner of the first biometric template, that the owner is actually a person the owner claims to be.
  • 20. The system of claim 1, wherein the first biometric template is stored without any associated information that uniquely identifies the owner of the first biometric template, to ensure privacy of the owner or to reduce storage requirements.
CROSS-REFERENCE TO RELATED APPLICATION

This application is a continuation under 35 U.S.C. §120 of U.S. patent application Ser. No. 11/823,338 filed Jun. 27, 2007, which claims the priority benefit under 35 U.S.C. §119(e) of U.S. Provisional Patent Application No. 60/805,925 filed Jun. 27, 2006, and entitled “Method for Ensuring the Provenance of Passengers in a Transportation System.”

US Referenced Citations (195)
Number Name Date Kind
4641349 Flom et al. Feb 1987 A
5259040 Hanna Nov 1993 A
5291560 Daugman Mar 1994 A
5488675 Hanna Jan 1996 A
5572596 Wildes et al. Nov 1996 A
5581629 Hanna et al. Dec 1996 A
5613012 Hoffman et al. Mar 1997 A
5615277 Hoffman et al. Mar 1997 A
5737439 Lapsley et al. Apr 1998 A
5751836 Wildes et al. May 1998 A
5764789 Pare et al. Jun 1998 A
5802199 Pare et al. Sep 1998 A
5805719 Pare et al. Sep 1998 A
5838812 Pare et al. Nov 1998 A
5901238 Matsushita May 1999 A
5953440 Zhang et al. Sep 1999 A
5978494 Zhang Nov 1999 A
6021210 Camus et al. Feb 2000 A
6028949 McKendall Feb 2000 A
6055322 Salganicoff et al. Apr 2000 A
6064752 Rozmus et al. May 2000 A
6069967 Rozmus et al. May 2000 A
6070159 Wilson et al. May 2000 A
6088470 Camus et al. Jul 2000 A
6144754 Okano et al. Nov 2000 A
6182076 Yu et al. Jan 2001 B1
6192142 Pare et al. Feb 2001 B1
6246751 Bergl et al. Jun 2001 B1
6247813 Kim et al. Jun 2001 B1
6252977 Salganicoff et al. Jun 2001 B1
6289113 McHugh et al. Sep 2001 B1
6366682 Hoffman et al. Apr 2002 B1
6373968 Okano et al. Apr 2002 B2
6377699 Musgrave et al. Apr 2002 B1
6424727 Musgrave et al. Jul 2002 B1
6483930 Musgrave et al. Nov 2002 B1
6532298 Cambier et al. Mar 2003 B1
6542624 Oda Apr 2003 B1
6546121 Oda Apr 2003 B1
6554705 Cumbers Apr 2003 B1
6594376 Hoffman et al. Jul 2003 B2
6594377 Kim et al. Jul 2003 B1
6652099 Chae et al. Nov 2003 B2
6700998 Murata Mar 2004 B1
6714665 Hanna et al. Mar 2004 B1
6734783 Anbai May 2004 B1
6760467 Min et al. Jul 2004 B1
6819219 Bolle et al. Nov 2004 B1
6850631 Oda et al. Feb 2005 B1
6911907 Kelliher et al. Jun 2005 B2
6917695 Teng et al. Jul 2005 B2
6944318 Takata et al. Sep 2005 B1
6950536 Houvener Sep 2005 B2
6980670 Hoffman et al. Dec 2005 B1
6985608 Hoffman et al. Jan 2006 B2
7007298 Shinzaki et al. Feb 2006 B1
7020351 Kumar et al. Mar 2006 B1
7047418 Ferren et al. May 2006 B1
7095901 Lee et al. Aug 2006 B2
7146027 Kim et al. Dec 2006 B2
7152782 Shenker et al. Dec 2006 B2
7248719 Hoffman et al. Jul 2007 B2
7271939 Kono Sep 2007 B2
7277891 Howard et al. Oct 2007 B2
7346472 Moskowitz et al. Mar 2008 B1
7385626 Aggarwal et al. Jun 2008 B2
7398925 Tidwell et al. Jul 2008 B2
7414737 Cottard et al. Aug 2008 B2
7418115 Northcott et al. Aug 2008 B2
7428320 Northcott et al. Sep 2008 B2
7542590 Robinson et al. Jun 2009 B1
7545962 Peirce et al. Jun 2009 B2
7558406 Robinson et al. Jul 2009 B1
7558407 Hoffman et al. Jul 2009 B2
7574021 Matey Aug 2009 B2
7583822 Guillemot et al. Sep 2009 B2
7606401 Hoffman et al. Oct 2009 B2
7616788 Hsieh et al. Nov 2009 B2
7639840 Hanna et al. Dec 2009 B2
7660700 Moskowitz et al. Feb 2010 B2
7693307 Rieul et al. Apr 2010 B2
7697786 Camus et al. Apr 2010 B2
7715595 Kim et al. May 2010 B2
7719566 Guichard May 2010 B2
7770019 Ferren et al. Aug 2010 B2
7797606 Chabanne Sep 2010 B2
7801335 Hanna et al. Sep 2010 B2
7847688 Bernard et al. Dec 2010 B2
7869627 Northcott et al. Jan 2011 B2
7925059 Hoyos et al. Apr 2011 B2
7929017 Aggarwal et al. Apr 2011 B2
7929732 Bringer et al. Apr 2011 B2
7949295 Kumar et al. May 2011 B2
7949494 Moskowitz et al. May 2011 B2
7978883 Rouh et al. Jul 2011 B2
8009876 Kim et al. Aug 2011 B2
8025399 Northcott et al. Sep 2011 B2
8028896 Carter et al. Oct 2011 B2
8090246 Jelinek Jan 2012 B2
8092021 Northcott et al. Jan 2012 B1
8132912 Northcott et al. Mar 2012 B1
8159328 Luckhardt Apr 2012 B2
8170295 Fujii et al. May 2012 B2
8181858 Carter et al. May 2012 B2
8195044 Hanna et al. Jun 2012 B2
8212870 Hanna et al. Jul 2012 B2
8214175 Moskowitz et al. Jul 2012 B2
8233680 Bringer et al. Jul 2012 B2
8243133 Northcott et al. Aug 2012 B1
8260008 Hanna et al. Sep 2012 B2
8279042 Beenau et al. Oct 2012 B2
8280120 Hoyos et al. Oct 2012 B2
8289390 Aggarwal et al. Oct 2012 B2
8306279 Hanna Nov 2012 B2
8317325 Raguin et al. Nov 2012 B2
8364646 Hanna et al. Jan 2013 B2
8411909 Zhao et al. Apr 2013 B1
8442339 Martin et al. May 2013 B2
8443202 White et al. May 2013 B2
8553948 Hanna Oct 2013 B2
8604901 Hoyos et al. Dec 2013 B2
8606097 Hanna et al. Dec 2013 B2
8719584 Mullin May 2014 B2
20020149467 Calvesio et al. Oct 2002 A1
20030058084 O'Hara Mar 2003 A1
20030158762 Wu Aug 2003 A1
20040190757 Murphy et al. Sep 2004 A1
20040258281 Delgrosso et al. Dec 2004 A1
20050084137 Kim et al. Apr 2005 A1
20050084179 Hanna et al. Apr 2005 A1
20050229007 Bolle et al. Oct 2005 A1
20060028552 Aggarwal et al. Feb 2006 A1
20060073449 Kumar et al. Apr 2006 A1
20060074986 Mallalieu et al. Apr 2006 A1
20060210119 Willis et al. Sep 2006 A1
20060279630 Aggarwal et al. Dec 2006 A1
20070110285 Hanna et al. May 2007 A1
20070206839 Hanna et al. Sep 2007 A1
20070211922 Crowley et al. Sep 2007 A1
20070241861 Venkatanna et al. Oct 2007 A1
20080122578 Hoyos et al. May 2008 A1
20080291279 Samarasekera et al. Nov 2008 A1
20090074256 Haddad Mar 2009 A1
20090097715 Cottard et al. Apr 2009 A1
20090161925 Cottard et al. Jun 2009 A1
20090231096 Bringer et al. Sep 2009 A1
20090274345 Hanna et al. Nov 2009 A1
20090303037 Sweatte Dec 2009 A1
20100014720 Hoyos et al. Jan 2010 A1
20100021016 Cottard et al. Jan 2010 A1
20100074477 Fujii et al. Mar 2010 A1
20100127826 Saliba et al. May 2010 A1
20100232655 Hanna Sep 2010 A1
20100246903 Cottard Sep 2010 A1
20100253816 Hanna Oct 2010 A1
20100278394 Raguin et al. Nov 2010 A1
20100310070 Bringer et al. Dec 2010 A1
20110002510 Hanna Jan 2011 A1
20110007949 Hanna et al. Jan 2011 A1
20110119111 Hanna May 2011 A1
20110119141 Hoyos et al. May 2011 A1
20110158486 Bringer et al. Jun 2011 A1
20110194738 Choi et al. Aug 2011 A1
20110211054 Hanna et al. Sep 2011 A1
20110277518 Lais et al. Nov 2011 A1
20120127295 Hanna et al. May 2012 A9
20120187838 Hanna Jul 2012 A1
20120212597 Hanna Aug 2012 A1
20120219279 Hanna et al. Aug 2012 A1
20120239458 Hanna Sep 2012 A9
20120240223 Tu Sep 2012 A1
20120242820 Hanna et al. Sep 2012 A1
20120242821 Hanna et al. Sep 2012 A1
20120243749 Hanna et al. Sep 2012 A1
20120257797 Leyvand et al. Oct 2012 A1
20120268241 Hanna et al. Oct 2012 A1
20120293643 Hanna Nov 2012 A1
20120300052 Hanna et al. Nov 2012 A1
20120300990 Hanna et al. Nov 2012 A1
20120321141 Hoyos et al. Dec 2012 A1
20120328164 Hoyos et al. Dec 2012 A1
20130051631 Hanna Feb 2013 A1
20130110859 Hanna et al. May 2013 A1
20130162798 Hanna et al. Jun 2013 A1
20130162799 Hanna et al. Jun 2013 A1
20130182093 Hanna Jul 2013 A1
20130182094 Hanna Jul 2013 A1
20130182095 Hanna Jul 2013 A1
20130182913 Hoyos et al. Jul 2013 A1
20130182915 Hanna Jul 2013 A1
20130194408 Hanna et al. Aug 2013 A1
20130212655 Hoyos et al. Aug 2013 A1
20130294659 Hanna et al. Nov 2013 A1
20140064574 Hanna et al. Mar 2014 A1
20140072183 Hanna et al. Mar 2014 A1
Foreign Referenced Citations (26)
Number Date Country
1020020078225 Oct 2002 KR
1020030005113 Jan 2003 KR
1003738500000 Feb 2003 KR
1020030034258 May 2003 KR
1020030051970 Jun 2003 KR
2003216700000 Jul 2003 KR
1004160650000 Jan 2004 KR
2003402730000 Jan 2004 KR
2003411370000 Jan 2004 KR
2003526690000 May 2004 KR
2003552790000 Jun 2004 KR
2003620320000 Sep 2004 KR
2003679170000 Nov 2004 KR
1020050005336 Jan 2005 KR
2003838080000 May 2005 KR
1020050051861 Jun 2005 KR
2004046500000 Dec 2005 KR
1005726260000 Apr 2006 KR
1011976780000 Oct 2012 KR
1013667480000 Feb 2014 KR
1013740490000 Mar 2014 KR
1020140028950 Mar 2014 KR
1020140039803 Apr 2014 KR
1020140050501 Apr 2014 KR
WO 2010062371 Jun 2010 WO
WO 2011093538 Aug 2011 WO
Non-Patent Literature Citations (7)
Entry
Daugman, John, “How Iris Recognition Works,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, No. 1, pp. 21-30 (2004).
Kumar, R., et al., “Direct recovery of shape from multiple views: a parallax based approach,” 12th IAPR Int'l Conf. on Pattern Recognition (1994).
Wildes, R.P., “Iris Recognition: An Emerging Biometric Technology,” Proc. IEEE 85(9):1348-1363 1997).
Nishino, K., et al., “The World in an Eye,” IEEE Conf. on Pattern Recognition, vol. 1, pp. 444-451 (2004).
Galvin, B., et al., “Recovering Motion Fields: An Evaluation of Eight Optical Flow Algorithms,” Proc. of the British Machine Vision Conf. (1998).
Bergen, J.R., et al., “Hierarchical Model-Based Motion Estimation, European Conf. on Computer Vision (1993)”.
Notice of Allowance on U.S. Appl. No. 11/559,381 dated May 18, 2010.
Related Publications (1)
Number Date Country
20140218166 A1 Aug 2014 US
Provisional Applications (1)
Number Date Country
60805925 Jun 2006 US
Continuations (1)
Number Date Country
Parent 11823338 Jun 2007 US
Child 14074907 US