Face Recognition with Local Gabor Textons

  • Zhen Lei
  • Stan Z. Li
  • Rufeng Chu
  • Xiangxin Zhu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4642)


This paper proposes a novel face representation and recognition method based on local Gabor textons. Textons, defined as a vocabulary of local characteristic features, are a good description of the perceptually distinguishable micro-structures on objects. In this paper, we incorporate the advantages of Gabor feature and textons strategy together to form Gabor textons. And for the specificity of face images, we propose local Gabor textons (LGT) to portray faces more precisely and efficiently. The local Gabor textons histogram sequence is then utilized for face representation and a weighted histogram sequence matching mechanism is introduced for face recognition. Preliminary experiments on FERET database show promising results of the proposed method.


local textons Gabor filters histogram sequence face recognition 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Zhen Lei
    • 1
  • Stan Z. Li
    • 1
  • Rufeng Chu
    • 1
  • Xiangxin Zhu
    • 1
  1. 1.Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun Donglu, Beijing 100080China

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