Wavelet based Normalisation for Face Recognition

G.Y. Tian, S. King, D. Taylor, and S. Ward (UK)


Face recognition, Wavelet analysis, Normalisation, Illumination variation, PCA


Face recognition is an active research area for security. It has been used for industrial applications. However, it is still a challenging research topic since the human face may change its appearance due to the internal variations such as facial expressions, beards, mustaches, hair styles, glasses, ageing and surgery and the external distortions such as the scale, lighting, position and occlusion of the face. This paper presents diverse image distortions due to different capturing conditions and normalisation techniques to overcome these problems. A comparison of global and local normalisation are tested and reported on. Based on the experimental results, conclusions are derived in the paper.

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