Distortion-invariant pattern recognition using synthetic discriminant function-based shifted phase-encoded joint transform correlator

Mohammed Nazrul Islam; Inder Purohit; Vijayan K. Asari; Mohammad A. Karim

doi:10.1117/1.3000589

1 October 2008 Distortion-invariant pattern recognition using synthetic discriminant function-based shifted phase-encoded joint transform correlator

Mohammed Nazrul Islam, Inder Purohit, Vijayan K. Asari, Mohammad A. Karim

Author Affiliations +

Optical Engineering, Vol. 47, Issue 10, 108201 (October 2008). https://doi.org/10.1117/1.3000589

Abstract

A novel pattern recognition technique is proposed that employs shifted phase-encoded fringe-adjusted joint transform correlation (SPFJTC) for efficient real-time application and synthetic discriminant function for invariance to distortions. The proposed technique produces a single delta-like correlation for a potential target in the input scene, and performs successfully even in a noisy environment. The simple architecture of the proposed technique can be implemented easily on optoelectronics for very high-speed operation. Computer simulation results verify the efficient performance of the technique under different variations of the input scene and the environment.

©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Mohammed Nazrul Islam, Inder Purohit, Vijayan K. Asari, and Mohammad A. Karim "Distortion-invariant pattern recognition using synthetic discriminant function-based shifted phase-encoded joint transform correlator," Optical Engineering 47(10), 108201 (1 October 2008). https://doi.org/10.1117/1.3000589

Published: 1 October 2008

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