Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues

Volume 5226 of the series Lecture Notes in Computer Science pp 92-97

A New Unsupervised Approach to Face Recognition

  • Zizhu FanAffiliated withSchool of Natural Science, East China Jiaotong University
  • , Ergen LiuAffiliated withSchool of Natural Science, East China Jiaotong University

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A new unsupervised approach to face recognition is proposed in this paper. Shape and color entropy is presented to descript face features. Firstly, images are pre-processed including face normalization and image segmentation and so on. Secondly, by using the information entropy theory, the method defines the color and shape entropy of the face images, respectively. Finally, an integrated similarity measurement framework is presented by computing mutual information between images according to these entropies. Compared with other methods of feature description, experiments indicate that this approach is more effective and efficient.


mutual information face recognition image similarity feature description