Journal of South China University of Technology (Natural Science Edition) ›› 2007, Vol. 35 ›› Issue (9): 45-49.

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Face Recognition via DT-CWT Feature-Based Orthogonal Neighborhood Preserving Projections

Sun Yue-hui  Du Ming-hui   

  1. School of E1ectronic and Information Engineering， South China Univ. of Tech. , Guangzhou 510640 , Guangdong , China
  • Received:2006-10-27 Online:2007-09-25 Published:2007-09-25
  • Contact: 孙粤辉(1979-) ，男，博士，主要从事统计模式识别、机器视觉方面的研究. E-mail:yuehui.sun@gmail. com
  • About author:孙粤辉(1979-) ，男，博士，主要从事统计模式识别、机器视觉方面的研究.
  • Supported by:

    广东省自然科学基金资助项目(05006593)

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Abstract:

In order to efficiently accomplish the face recognition using dual-tree complex-wavelet transform (DTCWT), a method composed of DT-CWT and orthogonal neighborhood preserving projections (ONPP) is proposed. In this method , a feature vector with desirable characteristics including spatial locality , frequency and orientation selectivity is obtained by DT-CWT. Then , the dimension of the vector is linearly reduced by ONPP, thus effectively preserving the intrinsic neighborhood geometry of the vector and the global geometry. So , the recognition can be easily performed. Experimental results demonstrate that the proposed ONPP based on DT -CWT can accomplish the face recognition well with the feature dimension being effectively reduced.

Key words: dual-tree complex-wavelet transform, orthogonal neighborhood preserving projection, face recognition