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	Research on optical wavelet packet transform and its filter for iris recognition
	Cai De ; Yan Yingbai ; Jin Guofan
	2010-05-10 ; 2010-05-10
关键词	Practical Theoretical or Mathematical/ biometrics (access control) feature extraction holographic storage image recognition optical correlation optical design techniques optical filters optical images photorefractive materials spatial filters wavelet transforms/ optical wavelet packet transform optical wavelet packet filter design optical iris recognition eigen-image based correlation recognition method volume holographic opto-electronic hybrid system feature extraction image storage photorefractive crystal Db4 wavelet optical information processing/ A4230S Pattern recognition A4280B Spatial filters, zone plates, and polarizers A4215E Optical system design A4240 Holography A4280T Optical storage and retrieval A4270G Light-sensitive materials A0230 Function theory, analysis B6135E Image recognition B4190F Optical coatings and filters B4350 Holography B4120 Optical storage and retrieval B0230 Integral transforms C5260B Computer vision and image processing techniques C5320K Optical storage C1130 Integral transforms
中文摘要	To introduce wavelet packet transform into optical transform and improve the recognition performance of optical iris recognition, optical wavelet packet transform is proposed based on the analysis of the necessary condition for optical wavelet transform. Using the eigen-image based correlation recognition method and replacing the entropy criterion with the identification rate for iris recognition, the joint best wavelet packet bases for the whole image bank are chosen. Corresponding eigen images are generated. To further improve the performance of optical iris recognition, an optical wavelet packet filter is designed through linearly combining these wavelet packet bases. The filter is inserted in a volume holographic opto-electronic hybrid iris recognition system for feature extraction. The wavelet packet features extracted correlate with the eigen images stored in the photorefractive crystal. The correlation results are captured and transferred to a computer for post processing. In simulation, the mother wavelet, Db4, is utilized. Four wavelet packet bases are selected. The filter can obviously improve the identification rate from 90.91% to 95.45%. This result not only proves the efficiency of the filter designed but also shows that the capacity of optical information processing is enhanced after the introduction of wavelet packet transform into optics.
语种	中文 ; 中文
出版者	Science Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/25050]
专题	清华大学
推荐引用方式 GB/T 7714	Cai De,Yan Yingbai,Jin Guofan. Research on optical wavelet packet transform and its filter for iris recognition[J],2010, 2010.
APA	Cai De,Yan Yingbai,&Jin Guofan.(2010).Research on optical wavelet packet transform and its filter for iris recognition..
MLA	Cai De,et al."Research on optical wavelet packet transform and its filter for iris recognition".(2010).

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