Method of palmprint identification

• US 20040057604A1
• Filed: 09/25/2002
• Published: 03/25/2004
• Est. Priority Date: 09/25/2002
• Status: Active Grant

• Current Assignee: Hong Kong Polytechnic University
• Original Assignee: Hong Kong Polytechnic University
• Inventors: Adams, Kong Wai-Kin, David, Zhang Dapeng
• Granted Patent: US 7,466,846 B2
• Time in Patent Office: Days
• US Class Current: 382/115
• CPC Class Codes: G06V 40/1347 Preprocessing; Feature extraction

Abstract

A method of palmprint identification includes obtaining an image of a portion of an inner surface of a hand of an individual. A sub-image of skin surface within a defined area of the inner surface of the hand of obtained from the image. The sub-image is analyzed to obtain texture data for the skin surface with the defined area. The texture data is compared to reference information in a database.

Claims

1. A method of biometrics identification including:

obtaining an image of an area of skin surface from an individual,

analyzing the image to extract texture features on the area of skin surface, and

comparing the texture features with reference information in a database.

2. A method of biometrics identification including:

obtaining an image of a portion of an inner surface of a hand of an individual,

obtaining a sub-image of skin surface within a defined area of the inner surface of the hand,

analyzing the sub-image to obtain texture data for the skin surface, and

comparing the texture data with reference information in a database.

3. A method of claim 2 wherein the defined area is dependent on one or more characteristics of the hand.

4. A method of claim 3 wherein the one or more characteristics are the areas between fingers of the hand.

5. A method of claim 2 wherein the sub-image is obtained by steps including:

identifying at least two points representing the areas between fingers of the hand,

determining a coordinate system having a first and a second axis, wherein the two points are located on the first axis and are equidistant from the second axis, and

determining parameters of the sub-image within the coordinate system using the distance between the two points.

6. A method of claim 5 wherein the parameters of the sub-image include points in the coordinate system is represented by:

(0.25D, 0.5D), (1.25D, 0.5D), (0.25D, −

0.5D) and (1.25D, −

0.5D)

where D is the distance between the two points.

7. A method of claim 5 including a further step of normalizing the sub-image.

8. A method of claim 2 wherein analyzing the sub-image includes using a Gabor Filter.

9. A method of claim 2 wherein analyzing the sub-image includes segmenting layers of the sub-image with low resolution using Gabor analysis.

11. A method of claim 2 wherein the sub-image is segmented into two parts, a real part and an imaginary part, each part being stored as a vector.

12. A method of claim 11 wherein comparing the texture lo data with reference information in the database is based on a hamming distance of the form: