Performance of an image-encrypted joint transform correlator for pattern recognition

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

An image-encrypted joint transform correlator for pattern recognition is proposed and evaluated. The correlator performs twofold correlation for recognizing the primary image and cipher, and the encrypting cipher acts to enhance or inhibit the correlation peak if the cipher is correctly input. By incorporating the original image with an appropriate cipher, the correlator achieves better pattern discrimination and is robust against distortion. Simulation results show that the pixel number and the cell size of cipher affect the characteristics of the correlator.

Original languageEnglish
Pages (from-to)431-435
Number of pages5
JournalOptical Review
Volume8
Issue number6
DOIs
Publication statusPublished - 2001 Jan 1

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correlators
pattern recognition
discrimination
pixels
cells
simulation

Keywords

  • Joint transform correlator
  • Optical pattern recognition
  • Optical processing

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

Cite this

Performance of an image-encrypted joint transform correlator for pattern recognition. / Cheng, Chau Jern.

In: Optical Review, Vol. 8, No. 6, 01.01.2001, p. 431-435.

Research output: Contribution to journalArticle

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