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Proceedings Paper

Linear discriminant analysis for face recognition: comparison of subspace approach with regularization method
Author(s): Daniel Grzywczak; Władysław Skarbek
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Paper Abstract

This paper compares two face recognition methods based on Linear Discriminant Analysis: Subspace and Regularization method. These methods are tested for different parameters, different size of feature vector, Euclidean distance and modified Euclidean distance, for both LDA and Dual LDA method. Before using LDA, face images are described using selected frequency channels of DFT.

Paper Details

Date Published: 25 October 2013
PDF: 7 pages
Proc. SPIE 8903, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2013, 89030Y (25 October 2013); doi: 10.1117/12.2035449
Show Author Affiliations
Daniel Grzywczak, Warsaw Univ. of Technology (Poland)
Władysław Skarbek, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 8903:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2013
Ryszard S. Romaniuk, Editor(s)

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