Linear discriminant analysis for face recognition: comparison of subspace approach with regularization method

Daniel Grzywczak; Władysław Skarbek

doi:10.1117/12.2035449

25 October 2013 Linear discriminant analysis for face recognition: comparison of subspace approach with regularization method

Daniel Grzywczak, Władysław Skarbek

Author Affiliations +

Proceedings Volume 8903, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2013; 89030Y (2013) https://doi.org/10.1117/12.2035449
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2013, 2013, Wilga, Poland

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.

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Daniel Grzywczak and Władysław Skarbek "Linear discriminant analysis for face recognition: comparison of subspace approach with regularization method", Proc. SPIE 8903, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2013, 89030Y (25 October 2013); https://doi.org/10.1117/12.2035449

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