Updating a template for a biometric recognition device

• US 9,576,126 B2
• Filed: 02/13/2014
• Issued: 02/21/2017
• Est. Priority Date: 02/13/2014
• Status: Active Grant

• Current Assignee: Apple Inc.
• Original Assignee: Apple Inc.
• Inventors: Boshra, Michael, Mrazek, Pavel, Vieta, William M.
• Primary Examiner(s): EDWARDS, LINGLAN E
• Application Number:
  US14/180,334
• Publication Number:
  US 20150227740A1
• Time in Patent Office: 1,104 Days
• US Class Current: 1/1
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints
• CPC Class Codes: G06F 21/45 Structures or tools for the administration of authentication
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
• CPC Class Codes: G06V 40/1365 Matching; Classification
• CPC Class Codes: G06V 40/50 Maintenance of biometric data or enrolment thereof

Abstract

A template of a biometric attribute for use with a biometric recognition device includes a long term component and a short term component. The long term component can include a plurality of nodes that each represents at least a portion of the biometric attribute. The short term component may include one or more newly captured nodes that each represents at least a portion of the biometric attribute.

Claims

1. A method for updating a fingerprint template, comprising:

receiving, from a fingerprint recognition device, a representation of a portion of a fingerprint;

generating, by a processing device, a newly captured node based on the representation of the portion of the fingerprint;

determining, by the processing device, if the newly captured node matches at least one node in at least one of a short term data structure and a separate long term data structure of the fingerprint template, wherein the long term data structure comprises a plurality of nodes that collectively form an enrolled fingerprint template and the short term data structure comprises one or more recently captured nodes that indicate a condition of a fingerprint associated with the fingerprint template;

if the newly captured node matches at least one node in at least one of the short term data structure or the long term data structure of the fingerprint template, storing, by the processing device, the newly captured node in the short term data structure;

removing, by the processing device, a recently captured node from the short term data structure;

determining, by the processing device, whether the removed recently captured node is to be included in the long term data structure of the fingerprint template; and

storing, by the processing device, the removed recently captured node in the long term data structure.

2. The method as in claim 1, further comprising determining whether the newly captured node is to be stored in the short term data structure prior to storing the newly captured node in the short term data structure.

3. The method as in claim 2, further comprising determining node information for the newly captured node prior to determining whether the newly captured node is to be stored in the short term data structure.

4. The method as in claim 3, wherein the determination as to whether the newly captured node is to be stored in the short term data structure is based on the node information associated with the newly captured node.

5. The method as in claim 2, wherein the determination as to whether the removed recently captured node is to be included in the long term data structure is based on a coverage area of the recently captured node.

6. A method for updating a biometric template, comprising:

receiving, by a processing device, a newly captured node from a biometric recognition device operatively connected to the processing device, the newly captured node representing a portion of a biometric attribute;

determining, by the processing device, if the newly captured node matches at least one node in at least one of a short term data structure or a separate long term data structure of the biometric template, wherein the long term data structure of the biometric template comprises a plurality of nodes that collectively form an enrolled biometric template and the short term data structure of the biometric template comprises one or more recently captured nodes;

if the newly captured node matches at least one node in at least one of the short term data structure and the long term data structure of the biometric template, storing, by the processing device, the newly captured node in at least one of the short term data structure and the long term data structure of the biometric template, wherein the newly captured node is stored in the short term data structure based on node information associated with the newly captured node and the newly captured node is stored in the long term data structure based on a coverage area of the newly captured node;

receiving, by the processing device, biometric data captured by the biometric recognition device; and

comparing, by the processing device, the captured biometric data to the updated biometric template to determine a match;

wherein

the node information associated with the newly captured node comprises at least one of coverage area, matchability, and age of the newly captured node.

7. The method as in claim 6, further comprising removing a recently captured node from the short term data structure of the biometric template.

8. The method as in claim 7, wherein a recently captured node is removed from the short term data structure of the biometric template based on the node information associated with the node.

9. An electronic device, comprising:

a biometric recognition device configured to capture one or more nodes representing at least a first portion of a biometric attribute;

a processing device; and

a memory storing a biometric template of the biometric attribute and operatively coupled to the biometric recognition device and the processing device, the biometric template comprising;

a long term data structure comprising a plurality of nodes previously captured by the biometric recognition device, each representing at least a second portion of the biometric attribute; and

a short term data structure comprising the one or more nodes captured by the biometric recognition device, the one or more nodes providing information on a condition of the biometric attribute;

wherein;

the short term data structure and the long term data structure are both stored as part of the biometric template;

the processing device is configured to;

update the long term data structure based on the one or more nodes indicating a change in the biometric attribute, thereby updating the biometric template to an updated biometric template;

receive further biometric data from the biometric recognition device; and

compare the further biometric data to the updated biometric template to determine if the two match; and

compare the further biometric data to at least one of the plurality of nodes stored in the long term data structure and at least one of the one or more nodes stored in the short term data structure; and

the information provided by the one or more nodes comprises information regarding at least one of coverage area, matchability, and an age of each node.

10. The electronic device of claim 9, wherein the biometric template comprises a fingerprint template.

11. The electronic device as in claim 9, wherein the processing device comprises a secure processing device.

12. The electronic device as in claim 9, wherein the biometric recognition device comprises a fingerprint recognition device and the biometric attribute comprises at least a portion of a fingerprint.

13. The electronic device as in claim 9, wherein the memory comprises a secure memory.

14. The electronic device as in claim 9, wherein the electronic device is a smart telephone.