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Pattern recognition, inner products, and correlation filters
Author(s): Fred M. Dickey; Louis A. Romero
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Paper Abstract

In this paper, we review correlation filters as an approach to pattern recognition with a special emphasis on the consequences of normalizing the correlation to achieve intensity invariance. Intensity invariance is effected using the Cauchy-Schwarz inequality to normalize the correlation integral. We discuss the implications of this criterion for the application of correlation filters to the pattern recognition problem. It is shown that normalized phase-only and synthetic discriminate functions do not provide the recognition/discrimination obtained with the classical matched filter.

Paper Details

Date Published: 22 June 2017
PDF: 21 pages
Proc. SPIE 10262, Optical Pattern Recognition, 102620E (22 June 2017); doi: 10.1117/12.59858
Show Author Affiliations
Fred M. Dickey, Sandia National Labs. (United States)
Louis A. Romero, Sandia National Labs. (United States)


Published in SPIE Proceedings Vol. 10262:
Optical Pattern Recognition
Joseph L. Horner; Bahram Javidi, Editor(s)

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