AUTOMATIC IDENTITY ENROLMENT

• US 20130138652A1
• Filed: 05/13/2011
• Published: 05/30/2013
• Est. Priority Date: 05/13/2010
• Status: Active Grant

• Current Assignee: iOmniscient Pty Ltd.
• Original Assignee: National ICT Australia Limited
• Inventors: Lovell, Brian, Bigdeli, Abbas, Mau, Sandra
• Granted Patent: US 10,216,786 B2
• Time in Patent Office: Days
• US Class Current: 707/737
• CPC Class Codes: G06F 16/24 Querying
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06V 40/50 Maintenance of biometric data or enrolment thereof
• CPC Class Codes: G06V 40/70 Multimodal biometrics, e.g. combining information from different biometric modalities
• CPC Class Codes: G07C 2209/02 Access control comprising means for the enrolment of users
• CPC Class Codes: G07C 9/37 using biometric data, e.g. fingerprints, iris scans or voice recognition

Abstract

Biometric computer systems are systems which use one or biometric identifiers to enroll, verify or identify a person. This disclosure concerns the automatic enrolment of people into biometric systems. Aspects include methods, computer systems, software and biometric systems. A first biometric identifier (i.e. face) and a second biometric identifier (e.g. iris) is captured (201). The first biometric identifier (e.g. face) is compared (206) to the biometric identifiers associated with records in the datastore (i.e. employment records 121) to identify a candidate matching record. An association of the second biometric identifier with the candidate record to be stored (209) in memory.

Claims

1. A computer implemented method of automatically associating a second biometric identifier with a records stored in a datastore, wherein each record represents a person and is already associated with at least one biometric identifier of the person, the method comprising:

(a) receiving or accessing a first biometric identifier and a second biometric identifier, wherein the first and second biometric identifiers represent the same person;

(b) comparing the first biometric identifier to the biometric identifiers associated with records in the datastore to identify a candidate matching record; and

(c) causing an association of the second biometric identifier with the candidate record to be stored in memory.

2. The computer implemented method according to claim 1, wherein step (b) further comprises determining a level of confidence in the candidate matching record, and if a candidate matching record is not identified to a satisfactory level of confidence, repeating steps (a) and (b) until the satisfactory level of confidence is reached.

3. The computer implemented method according to claim 1, wherein the method comprises receiving or accessing a further instance of a first biometric identifier and second biometric identifier representing the same person and comparing each instance of the first biometric identifier to the biometric identifiers associated with records in the datastore to identify a candidate matching record.

4. The computer implemented method of claim 1, wherein comparing each instance of the first biometric identifier comprises comparing a combined representation of each instance of the first biometric identifier to the biometric identifiers associated with records in the datastore.

5. The computer complemented method of claim 4, wherein the combined representation is based on clustering the instances of the first biometric identifiers and comparing the cluster to the biometric identifiers associated with the records in the datastore.

6. The computer implemented method of claim 1, wherein the first biometric identifier and the second biometric identifier are of different types.

7. The computer implemented method of claim 1, wherein the at least one biometric identifier already associated with each record is representative of the face of the person.

8. The computer implemented method of claim 1, wherein the second identifier is a more accurate type of biometric identifier of a person than the first identifier.

9. The computer implemented method of claim 1, wherein the first identifier is a representation of the iris of the person.

10. The computer implemented method of claim 1, wherein the datastore is employee records or records of personnel allowed access to a physical area.

11. The computer implemented method of claim 1, wherein associating the second biometric identifier to the candidate record is taken to be enrolment of the person into a computer controlled biometric system.

12. Software, that is computer readable medium that when read and executed by a computer causes the computer to operate in accordance with the method of claim 1.

14. A biometric system using associations stored in memory according to the method of claim 1.

13. A computer system to automatically associate a second biometric identifier with a record stored in a datastore, the system comprising:

a processor;

a datastore comprised of records, wherein each record represents a person and is already associated with at least one biometric identifier of the person;

an input port to receive or memory for the processor to access a first biometric identifier and a second biometric identifier, wherein the first and second biometric identifiers represent the same person; and

the processor to compare the first biometric identifier to the biometric identifiers associated with records in the datastore to identify a candidate matching record, and to cause an association of the second biometric identifier with the candidate record to be stored in memory.