Testing fusion of LDA and PCA algorithms for face recognition with images preprocessed with two-dimensional discrete cosine transform

Authors:
Tomasz Łukańko;Tomasz Marcin Orzechowski;Andrzej Dziech;Jakob Wassermann
Affiliations:
Department of Telecommunications, AGH University of Science and Technology, Kraków, Poland;Department of Telecommunications, AGH University of Science and Technology, Kraków, Poland;Department of Telecommunications, AGH University of Science and Technology, Kraków, Poland;Department of Electronic Engineering, University of Applied Sciences Technikum Wien, Vienna, Austria
Venue:
Proceedings of the 15th WSEAS international conference on Computers
Year:
2011

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Abstract

The main aim of work was to use methods increasing the efficiency of two algorithms for face recognition such as Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA). The tests also depend on checking the influence of using Two-Dimensional Discrete Cosine Transform (2D-DCT) for preprocessing all images. Results prove that these methods improve the rightness of face recognition.