Face images feature extraction analysis for recognition in frequency domain

Authors:
M. Almas Anjum;M. Younus Javed
Affiliations:
Department of Computer Engineering, College of Electrical & Mechanical Engineering, NUST, Rawalpindi, Pakistan;Department of Computer Engineering, College of Electrical & Mechanical Engineering, NUST, Rawalpindi, Pakistan
Venue:
ISCGAV'06 Proceedings of the 6th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Year:
2006

Citing 5
Cited 0

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Abstract

In this paper a novel technique to extract facial features for recognition in frequency domain using Discrete Fourier Transform (DFT) is presented. In pre processing phase facial tilt and varying image background challenges have been addressed to improve the success rate. Varying facial expressions within class have been minimised by using decimation algorithm. Experiments on ORL and YALE datasets have been performed with success rate up to 99%.