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Proceedings Paper

Probability density function-based Fisher ratio applied to polarization-enhanced patterns
Author(s): Aed El-Saba; M. S. Alam; H. Nalluri
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Paper Abstract

The use of Fisher ratio (FR) algorithm to predict a pattern in an input seen has been applied in several applications in the literature with different success rate, depending on how close is the similarity of the statistical parameters between the background and the patterns. We propose a modification to the FR ratio algorithm that is dependent on the probability density function (PDF). The modified PDF-FR algorithm provides good improvements over that of the PDF used alone. We further enhance the performance of the PDF-FR using polarization-enhanced imagery.

Paper Details

Date Published: 17 March 2008
PDF: 7 pages
Proc. SPIE 6977, Optical Pattern Recognition XIX, 697709 (17 March 2008); doi: 10.1117/12.782173
Show Author Affiliations
Aed El-Saba, Univ. of South Alabama (United States)
M. S. Alam, Univ. of South Alabama (United States)
H. Nalluri, Univ. of South Alabama (United States)


Published in SPIE Proceedings Vol. 6977:
Optical Pattern Recognition XIX
David P. Casasent; Tien-Hsin Chao, Editor(s)

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