吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (4): 1167-1170.

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Kernel method in face recognition based on 2DLDA

ZHANG Chao-zhu,ZUO Guo-hui   

  1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
  • Received:2009-10-12 Online:2011-07-01 Published:2011-07-01

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Abstract:

The face recognition method based on two dimensional discriminant algorithm lacks the use of nonlinear feature. To overcome this shortcoming, a two dimensional discriminant analysis algorithm based on kernel method is proposed for face recognition. Test results show that the proposed algorithm performs better than the original one. Further research on polynomial kernel functions shows that the lower degree polynomials receive higher recognition rate.

Key words: communication, face recognition, two dimension discriminant analysis, kernel method, polynomial kernel function

CLC Number: 

  • TN91
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