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Application of Wavelet and Neural Networkin the Human Face Illumination Compensation

ZHANG Zhong-bo, MA Si-liang, MA Jie   

  1. Institute of Mathematics, Jilin University, Changchun 130012, China
  • Received:2004-06-23 Revised:1900-01-01 Online:2005-03-26 Published:2005-03-26
  • Contact: MA Si-liang

Abstract: Based on wavelet and neural network the method of face illumination compensation is proposed. It sufficiently combines multiresolution analysis of wavelet with the self adaptation learning and ability of good spread of BP neural network, thus this method carries out the face illumination compensation. The theory and experiments prove that this method solves face detection and illumination compensation in the identifying process. Moreover, it has fine robust and adaptable characteristics in a wide range.

Key words: illumination compensation, wavelet analyze, neural net work, face recognition, face detection

CLC Number: 

  • TP301