DISTANCE IRIS RECOGNITION

• US 20100002913A1
• Filed: 08/11/2009
• Published: 01/07/2010
• Est. Priority Date: 01/26/2005
• Status: Active Grant

• Current Assignee: Gentex Corporation
• Original Assignee: Honeywell International Inc.
• Inventors: Hamza, Rida M.
• Granted Patent: US 8,285,005 B2
• Time in Patent Office: Days
• US Class Current: 382/117
• CPC Class Codes: G06V 40/18 Eye characteristics, e.g. of the iris
• CPC Class Codes: G06V 40/193 Preprocessing; Feature extraction

Abstract

A system for one dimensional segmentation of an iris of an eye into a map of the iris and classification of the map into unaffected areas and affected areas. Also, the system may provide for regular shape fitting of the areas for normalization and identifying the unaffected areas as symmetric segments. Further, the system may assign weights to the unaffected areas and the affected areas of the map of the iris and an enrolled map of an iris and their corresponding bins for matching purposes.

Claims

1. A method of iris capture, comprising:

one dimensional segmentation of an iris into a map of the iris; and

classification of the map into unaffected areas and affected areas.

2. The method of claim 1, further comprising regular shape fitting of the areas for normalization.

3. The method of claim 2, further comprising identifying the unaffected areas as symmetric areas.

4. The method of claim 3, further comprising calibrating the affected areas.

5. The method of claim 4, further comprising clustering the affected areas.

6. The method of claim 5, further comprising assigning a weighting to the unaffected areas and the affected areas.

7. The method of claim 6, wherein the affected areas are affected by one or more eyelids and/or one or more eyelashes.

8. The method of claim 7, further comprising:

assigning weights to the unaffected areas and the affected areas of the map of the iris and an enrolled map of an iris; and

wherein;

higher weights are attributed to unaffected areas of the map of the iris and the enrolled map of an iris;

lower weights are attributed to affected areas of the map of the iris and the enrolled map of an iris; and

weights between the higher weights and the lower weights are attributed to unaffected and affected areas of the map of the iris and the enrolled map of an iris.

9. A system comprising:

a first mechanism for one dimensional segmentation of an iris into a map of the iris;

a second mechanism for classification of the map into unaffected areas and affected areas;

a third mechanism for regular shape fitting of the areas for normalization; and

a fourth mechanism for identifying the unaffected areas as symmetric areas.

10. The system of claim 9, further comprising:

a fifth mechanism for assigning weights to the unaffected areas and the affected areas of bins of the map of the iris and an enrolled map of an iris; and

wherein;

higher weights are attributed to unaffected areas of the map of the iris and the enrolled map of an iris;

lower weights are attributed to affected areas of the bins of the map of the iris and the enrolled map of an iris; and

weights between the higher weights and the lower weights are attributed to unaffected and affected areas of bins of the map of the iris and the enrolled map of an iris.