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

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

Mohammed Nazrul Islam, Inder K Purohit, K. Vijayan Asari and Mohammad A Karim
Optical Engineering, Vol.47(10), pp.108201-108209
10/01/2008

Abstract

correlation fringe-adjusted filter joint transform correlation pattern recognition peak-to-clutter ratio
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.

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