Optical wavelet subband filtering for joint transform correlation

Chau Jern Cheng*, Li Chien Lin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Article number105001
JournalOptical Engineering
Issue number10
Publication statusPublished - 2005 Oct
Externally publishedYes


  • Joint transform correlator
  • Optical pattern recognition
  • Wavelet transform

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • General Engineering


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