Optical wavelet subband filtering for joint transform correlation

Chau Jern Cheng, Li Chien Lin

研究成果: 雜誌貢獻文章

3 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
文章編號105001
期刊Optical Engineering
44
發行號10
DOIs
出版狀態已發佈 - 2005 十月 1

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

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