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Face detection using gabor wavelets and neural networks

By Hossein Sahoolizadeh, Davood Sarikhanimoghadam and Hamid Dehghani

Abstract

Abstract—This paper proposes new hybrid approaches for face recognition. Gabor wavelets representation of face images is an effective approach for both facial action recognition and face identification. Perform dimensionality reduction and linear discriminate analysis on the down sampled Gabor wavelet faces can increase the discriminate ability. Nearest feature space is extended to various similarity measures. In our experiments, proposed Gabor wavelet faces combined with extended neural net feature space classifier shows very good performance, which can achieve 93 % maximum correct recognition rate on ORL data set without any preprocessing step

Topics: Neural Networks, Multi-layer Perceptron, Gabor wavelets
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.307.5400
Provided by: CiteSeerX
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