1 October 2005 Optical wavelet subband filtering for joint transform correlation
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Abstract
This work presents an experimental demonstration of an optical joint transform correlator based on the wavelet subband filter for texture pattern recognition. The optical wavelet subband filter is implemented using 4f filtering architecture and utilized to extract the texture features of fingerprints under noisy environments through frequency- and orientation-selective properties. The filtered texture features with noise reduction are applied to optimize recognition via joint transform correlation. Experimental results show that the optical wavelet subband filter enhances the significant texture features from corrupted fingerprints and increases the pattern discrimination of the joint transform correlator.
© (2005) Society of Photo-Optical Instrumentation Engineers (SPIE)
Chau-Jern Cheng, Chau-Jern Cheng, Li-Chien Lin, Li-Chien Lin, } "Optical wavelet subband filtering for joint transform correlation," Optical Engineering 44(10), 105001 (1 October 2005). https://doi.org/10.1117/1.2077107 . Submission:
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