Cover
Vol. 3 No. 1 (2007)

Published: April 30, 2007

Pages: 33-50

Original Article

New Architectures and Algorithm for Optical Pattern Recognition using Joint Transform Correlation Technique

Prof. Dr. R. S. Fyath 1 Kh. N. Darraj
1Department of Laser and Electronic Engineering, Al-Nahrain University, Baghdad, Iraq and Department of Electrical Engineering, University of Basrah, Basrah, Iraq.
History
  • Received: February 28, 2007
  • Available Online: April 30, 2007
DOI

https://doi.org/10.37917/ijeee.3.1.3

Abstract

Recently, there is increasing interest in using joint transform correlation (JTC) technique for optical pattern recognition. In this technique, the target and reference images are jointed together in the input plane and no matched filter is required. In this paper, the JTC is investigated using simulation technique. A new discrimination decision algorithm is proposed to recognize the correlation output for different object shapes (dissimilar shapes). Also, new architectures are proposed to overcome the main problems of the conventional JTC.

Keywords

References

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