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Proceedings Paper

Improvement of pattern recognition with a heuristic design of correlation filters
Author(s): Oskardie Castro; Victor H. Diaz-Ramirez; Arnoldo Diaz-Ramirez; Vitaly Kober
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Paper Abstract

A new method to design correlation filters for target recognition is presented. The method is based on a heuristic optimization of performance metrics. By the use of the heuristic algorithms the impulse response of a conventional composite filter is iteratively synthesized until a prespecified value of the used quality metric is obtained. Computer simulation results obtained with the proposed method are provided and compared with those of common correlation filters in terms of recognition performance measures in cluttered and noisy input scenes.

Paper Details

Date Published: 1 September 2009
PDF: 7 pages
Proc. SPIE 7442, Optics and Photonics for Information Processing III, 744217 (1 September 2009); doi: 10.1117/12.826639
Show Author Affiliations
Oskardie Castro, Instituto Tecnologico de Mexicali (Mexico)
Victor H. Diaz-Ramirez, Instituto Politecnico Nacional (Mexico)
Arnoldo Diaz-Ramirez, Instituto Tecnologico de Mexicali (Mexico)
Vitaly Kober, Ctr. de Investigación Científica y de Educación Superior de Ensenada (Mexico)


Published in SPIE Proceedings Vol. 7442:
Optics and Photonics for Information Processing III
Khan M. Iftekharuddin; Abdul Ahad Sami Awwal, Editor(s)

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