Modular biometrics collection system architecture

• US 8,085,993 B2
• Filed: 03/02/2007
• Issued: 12/27/2011
• Est. Priority Date: 03/03/2006
• Status: Active Grant

• Current Assignee: Gentex Corporation
• Original Assignee: Honeywell International Inc.
• Inventors: Jacobson, Vincent C.
• Primary Examiner(s): CHANG, JON CARLTON
• Application Number:
  US11/681,470
• Publication Number:
  US 20070206840A1
• Time in Patent Office: 1,761 Days
• Field of Search: 382/116, 382/117, 382/118, 340/5.52, 340/5.53, 340/5.82, 340/5.83
• US Class Current: 382/116
• CPC Class Codes: G06V 10/94 Hardware or software architectures specially adapted for image or video understanding
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands

Abstract

A modular biometrics collection system with an architecture having application to a combined features recognition system. The system may be a self-organizing mesh of collaborative independent components. Each component may have inputs, outputs, and local prioritization management. Each component may operate autonomously. Federated behavior of the components may be achieved by subscribing to content that influences local prioritization. An example of the system may have application to combined face and iris recognition.

Claims

1. A collection system, comprising:

an object detector for collecting a plurality of images of a full field of view, for analyzing the collected plurality of images, for identifying objects of interest in the analyzed plurality of images, for publishing the plurality of images, and for publishing respective coordinates in each image for each of the identified objects;

a face image extractor for receiving the published plurality of images and the respective coordinates in each image for each of the identified objects, for recognizing at least one identified object as a face, for zooming into the published plurality of images at the respective coordinates to the face, and for publishing a zoomed image of the face as a published face image;

a face image identifier for receiving the published face image, for determining if the published face image is present in a face image database, and for publishing a face identity result that indicates the identity of the face if the published face image is present in the face image database;

an iris image extractor for receiving the published plurality of images and the respective coordinates in each image for each of the identified objects, for recognizing at least one identified object as an iris, for zooming into the published plurality of images at the respective coordinates to the iris, and for publishing a zoomed image of the iris as a published iris image;

an iris image identifier for receiving the published iris image, for determining if the published iris image is present in an iris image database, and for publishing an iris identity result that indicates the identity of the iris if the published iris image is present in the iris image database; and

a reconciler for receiving the published plurality of images, the published respective coordinates in each image for each of the identified objects, the published face identity result and the published iris identity result, for matching at least one of the face and iris identity results to a respective identified object, and for publishing a person identity.

2. The collection system of claim 1, wherein the object detector, the face image extractor, the face image identifier, the iris image extractor, the iris image identifier and the reconciler run independently of each other.

3. The collection system of claim 1, wherein the reconciler further receives multiple pluralities of images, each plurality originating from a different sensor, each sensor having its own full field of view.

4. The collection system of claim 1, wherein the face image extractor and the iris image extractor both further receive multiple pluralities of images, each plurality originating from a different sensor, each sensor having its own full field of view.

5. The collection system of claim 1, wherein the zoom of the face image extractor is different from the zoom of the iris image extractor.

6. The collection system of claim 1, wherein the zooms of the face and iris image extractors comprise selecting a portion of image pixels from the respective image of the full field of view.

7. The collection system of claim 1, wherein all the images in the collected plurality of images are produced by a stationary sensor and use the same coordinate system.

8. The collection system of claim 1,

wherein at least some of the images in the collected plurality of images are produced by a moving sensor;

and

wherein at least some of the images in the collected plurality of images cover a moving full field of view.

9. The collection system of claim 8, wherein the published respective coordinates in each image for each of the identified objects accounts for the movement of the sensor and the moving full field of view.

10. A collection method, comprising:

collecting a plurality of images of a full field of view;

analyzing the collected plurality of images;

identifying objects of interest in the analyzed plurality of images;

publishing the plurality of images;

publishing respective coordinates in each image for each of the identified objects;

receiving the published plurality of images and the respective coordinates in each image for each of the identified objects;

recognizing at least one identified object as a face;

zooming into the published plurality of images at the respective coordinates to the face;

publishing a zoomed image of the face as a published face image;

receiving the published face image;

determining if the published face image is present in a face image database;

publishing a face identity result that indicates the identity of the face if the published face image is present in the face image database;

receiving the published plurality of images and the respective coordinates in each image for each of the identified objects;

recognizing at least one identified object as an iris;

zooming into the published plurality of images at the respective coordinates to the iris;

publishing a zoomed image of the iris as a published iris image;

receiving the published iris image;

determining if the published iris image is present in an iris image database;

publishing an iris identity result that indicates the identity of the iris if the published iris image is present in the iris image database;

receiving the published plurality of images, the published respective coordinates in each image for each of the identified objects, the published face identity result and the published iris identity result;

matching at least one of the face and iris identity results to a respective identified object; and

publishing a person identity.

11. The collection method of claim 10, further comprising receiving multiple pluralities of images, each plurality originating from a different sensor, each sensor having its own full field of view.

12. The collection method of claim 10, wherein the zooms are different for the face and iris resolutions.

13. The collection method of claim 10, wherein the zooms comprise selecting a portion of image pixels from the respective image of the full field of view.

14. The collection method of claim 10, wherein all the images in the collected plurality of images are produced by a stationary sensor and use the same coordinate system.

15. The collection method of claim 10,

wherein at least some of the images in the collected plurality of images are produced by a moving sensor;

and

wherein at least some of the images in the collected plurality of images cover a moving full field of view.

16. The collection method of claim 15, wherein the published respective coordinates in each image for each of the identified objects accounts for the movement of the sensor and the moving full field of view.