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Proceedings Paper

Face recognition on the basis of moment invariants, principal component analysis, and correlation
Author(s): Veacheslav Perju; David Casasent; Igor Mardare; Andrei Crivat
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Paper Abstract

There are presented the results of investigation of the algorithms of invariant face recognition of masked persons. There are described 3 algorithms based on Image Moments Features, Principal Component Analyses algorithm and Correlation algorithm. It is presented the description of the elaborated software for PC based face recognition, created in Borland C++ Builder environment. There are presented the data of the face recognition in conditions of masking, change of the rotation, scale of the images.

Paper Details

Date Published: 17 March 2008
PDF: 11 pages
Proc. SPIE 6977, Optical Pattern Recognition XIX, 69770U (17 March 2008); doi: 10.1117/12.778146
Show Author Affiliations
Veacheslav Perju, Technical Univ. of Moldova (Moldova)
Free International Univ. of Moldova (Moldova)
David Casasent, Carnegie Mellon Univ. (United States)
Igor Mardare, Technical Univ. of Moldova (Moldova)
Andrei Crivat, Technical Univ. of Moldova (Moldova)

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

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