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Proceedings Paper

Using optical wavelet packet transform to improve the performance of an optoelectronic iris recognition system
Author(s): De Cai; Qiaofeng Tan; Yingbai Yan; Guofan Jin; Qingsheng He
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Paper Abstract

Iris, one important biometric feature, has unique advantages: it has complex texture and is almost unchanged for the lifespan. So iris recognition has been widely studied for intelligent personal identification. Most of researchers use wavelets as iris feature extractor. And their systems obtain high accuracy. But wavelet transform is time consuming, so the problem is to enhance the useful information but still keep high processing speed. This is the reason we propose an opto-electronic system for iris recognition because of high parallelism of optics. In this system, we use eigen-images generated corresponding to optimally chosen wavelet packets to compress the iris image bank. After optical correlation between eigen-images and input, the statistic features are extracted. Simulation shows that wavelet packets preprocessing of the input images results in higher identification rate. And this preprocessing can be fulfilled by optical wavelet packet transform (OWPT), a new optical transform introduced by us. To generate the approximations of 2-D wavelet packet basis functions for implementing OWPT, mother wavelet, which has scaling functions, is utilized. Using the cascade algorithm and 2-D separable wavelet transform scheme, an optical wavelet packet filter is constructed based on the selected best bases. Inserting this filter makes the recognition performance better.

Paper Details

Date Published: 11 January 2005
PDF: 10 pages
Proc. SPIE 5642, Information Optics and Photonics Technology, (11 January 2005); doi: 10.1117/12.576261
Show Author Affiliations
De Cai, Tsinghua Univ. (China)
Qiaofeng Tan, Tsinghua Univ. (China)
Yingbai Yan, Tsinghua Univ. (China)
Guofan Jin, Tsinghua Univ. (China)
Qingsheng He, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 5642:
Information Optics and Photonics Technology
Guoguang Mu; Francis T. S. Yu; Suganda Jutamulia, Editor(s)

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