Optical wavelet subband filtering for joint transform correlation

Chau-Jern Cheng; Li-Chien Lin

doi:10.1117/1.2077107

1 October 2005 Optical wavelet subband filtering for joint transform correlation

Chau-Jern Cheng, Li-Chien Lin

Author Affiliations +

Optical Engineering, Vol. 44, Issue 10, 105001 (October 2005). https://doi.org/10.1117/1.2077107

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)

Citation Download Citation

Chau-Jern Cheng and 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

Published: 1 October 2005

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available