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Proceedings Paper

Face recognition by using optical correlator with wavelet preprocessing
Author(s): Jacek Strzelecki; Katarzyna Chalasinska-Macukow
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Paper Abstract

The method of face recognition by using optical correlator with wavelet preprocessing is presented. The wavelet transform is used to improve the performance of standard Vander Lugt correlator with phase only filter (POF). The influence of various wavelet transforms of images of human faces on the recognition results has been analyzed. The quality of the face recognition process was tested according to two criteria: the peak to correlation energy ratio (PCE), and the discrimination capability (DC). Additionally, proper localization of correlation peak has been controlled. During the preprocessing step a set of three wavelets -- mexican hat, Haar, and Gabor wavelets, with various scales was used. In addition, Gabor wavelets were tested for various orientation angles. During the recognition procedure the input scene and POF are transformed by the same wavelet. We show the results of the computer simulation for a variety of images of human faces: original images without any distortions, noisy images, and images with non-uniform light ilumination. A comparison of results of recognition obtained with and without wavelet preprocessing is given.

Paper Details

Date Published: 26 August 2004
PDF: 7 pages
Proc. SPIE 5566, Optical Security and Safety, (26 August 2004); doi: 10.1117/12.577211
Show Author Affiliations
Jacek Strzelecki, Warsaw Univ. of Technology (Poland)
Katarzyna Chalasinska-Macukow, Warsaw Univ. (Poland)

Published in SPIE Proceedings Vol. 5566:
Optical Security and Safety
Zbigniew Jaroszewicz; Ewa Powichrowska; Mariusz Szyjer, Editor(s)

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