Share Email Print

Proceedings Paper

Crease's discriminating power in palmprint recognition
Author(s): Junbo Chen; Changshui Zhang; Gang Rong
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The term crease is used to denote the total line features in high resolution palmprint images. In the bibliography, line features in low resolution palmprint images have been used in palmprint recognition. The result is limited due to the lack of lines in the poor images. In the high resolution situation, the creases are abundant while they also need much more deliberate treatment. A palmprint recognition system have been constructed in our previous research, which demonstrates the feasibility of palmprint recognition using only crease while it doesn't take into account many low quality images in reality. In this paper, we advance the work in image preprocessings, automatic threshold selection in the key part of system, and crease lines matching. Now the crease extraction and palmprint recognition results are exciting even in very low quality palmprint. Based on our system, an absolute threshold of similarity degree, which ensures all the image pairs with similarity degree above it are of the same palmprint, like that of matching point number in the fingerprint recognition, is figured out. All the results show that creases in high resolution palmprint images will be an outstanding candidate in the future palmprint recognition system with very high sample capacity.

Paper Details

Date Published: 24 September 2001
PDF: 6 pages
Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); doi: 10.1117/12.441623
Show Author Affiliations
Junbo Chen, Tsinghua Univ. (China)
Changshui Zhang, Tsinghua Univ. (China)
Gang Rong, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 4554:
Object Detection, Classification, and Tracking Technologies
Jun Shen; Sharatchandra Pankanti; Runsheng Wang, Editor(s)

© SPIE. Terms of Use
Back to Top