DT-CWT Feature Structure Representation for Face Recognition under Varying Illumination Using EMD

Authors:
Yuehui Sun;Di Zhang
Affiliations:
School of Information and Engineering, Guangdong Univeristiy of Technology, Guangzhou, China 510006;College of Computer Science, Shaoguan University, ShaoGuan, China 512005
Venue:
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Year:
2009

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Abstract

We introduce a method for illumination detection and removal techinique using Empirical Mode Decomposition (EMD) to decompose subimages of Dual-Tree Complex Wavelet Transform (DT-CWT). The subimages are reconstructed without illumination distortion components for face recognition. Compared with others, this method has the following advantages: it can be directly applied without any prior information; it has perfectly reconstruction ability because of DT-CWT in low frequency. Experiments are carried out upon the Yale B and CMU PIE face databases, and the results demonstrate that the proposed method shows satisfactory recognition rates under varying illumination conditions.