Automatic identity enrolment

• US 10,216,786 B2
• Filed: 05/13/2011
• Issued: 02/26/2019
• Est. Priority Date: 05/13/2010
• Status: Active Grant

• Current Assignee: iOmniscient Pty Ltd.
• Original Assignee: iOmniscient Pty Ltd.
• Inventors: Bigdeli, Abbas, Lovell, Brian, Mau, Sandra
• Primary Examiner(s): Obisesan, Augustine K.
• Application Number:
  US13/695,255
• Publication Number:
  US 20130138652A1
• Time in Patent Office: 2,846 Days
• 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 enrolling a second biometric identifier by associating the second biometric identifier with 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 already associated with records in the datastore to identify a candidate matching record;

(c) determining whether the candidate matching record is identified to a predefined confidence level; and

(d) when the candidate matching record is identified to the predetermined confidence level, automatically enrolling the second biometric identifier by storing in memory an association of the second biometric identifier with the candidate matching record, whereby the first and second biometric identifiers are associated with the candidate record, and whereby the candidate record is enhanced by associating the second biometric identifier with the candidate record.

2. The computer implemented method according to claim 1, wherein if a candidate matching record is not identified to a satisfactory level of confidence, repeating steps (a);

(b) and (c) 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 3, 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 to 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. A tangible computer readable medium storing computer instructions 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.

15. The computer implemented method according to claim 1, wherein the first and second biometric identifiers are captured from a person by biometric sensors.

16. The computer implemented method according to claim 1, wherein the step of receiving or accessing a first biometric identifier and a second biometric identifier is carried out without the need for the active involvement of the person.

13. A computer system to automatically enroll a second biometric identifier by associating the 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 for comparing the first biometric identifier to the biometric identifiers already associated with records in the datastore to identify a candidate matching record, and to determine whether the candidate matching record is identified to a predefined confidence level, and when the candidate matching record is identified to the predefined confidence level, automatically enrolling the second biometric identifier by storing in memory an association of the second biometric identifier with the candidate matching record, whereby the first and second biometric identifiers are associated with the candidate record and, whereby the candidate record is enhanced by associating the second biometric identified with the candidate record.