Concepts of pattern recognition

Henri H. Arsenault

doi:10.1117/12.386812

24 May 2000 Concepts of pattern recognition

Henri H. Arsenault

Proceedings Volume 4089, Optics in Computing 2000; (2000) https://doi.org/10.1117/12.386812
Event: 2000 International Topical Meeting on Optics in Computing (OC2000), 2000, Quebec City, Canada

Abstract

This tutorial reviews some concepts of pattern recognition and introduces some recent new ideas. After a brief overview of classical pattern recognition approaches, some unconventional and useful concepts will be introduced and used to show how the input formats of images for both digital and optical pattern recognition techniques influence the choice of methods and of criteria for measuring similarity. The importance of nonimearities and of pre-processing will be demonstrated, and the important differences between cases where the objects of interest may be segmented from the scene and those where they may not will be pointed out. It will be shown that the mathematics underlying conventional classification methods and those using neural networks are not as different as they may first appear, and that some tasks predicted for neural networks involving pattern classification are impossible in principle. Some new approaches for achieving object classification invariant under translation, rotation, illumination and other distortions will be discussed.

Citation Download Citation

Henri H. Arsenault "Concepts of pattern recognition", Proc. SPIE 4089, Optics in Computing 2000, (24 May 2000); https://doi.org/10.1117/12.386812

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