Face recognition using support vector machines with the feature set extracted by genetic algorithms

Kyunghee Lee, Yongwha Chung, Hyeran Byun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Face recognition problem is challenging because face images can vary considerably in terms of facial expressions, 3D orientation, lighting conditions, hair styles, and so on. This paper proposes a method of face recognition by using support vector machines with the feature set extracted by genetic algorithms. By selecting the feature set that has superior performance in recognizing faces, the use of unnecessary information of the faces can be avoided and the memory requirement can be decreased significantly. Also, by using a tuning data set in the computation of the evaluation function, the feature set which is less dependent on illumination and expression can be selected. The experimental results show that the proposed method can provide superior performance than the previous method in terms of accuracy and memory requirement.

Original languageEnglish
Title of host publicationAudio- and Video-Based Biometric Person Authentication - Third International Conference, AVBPA 2001, Proceedings
PublisherSpringer Verlag
Pages32-37
Number of pages6
ISBN (Print)3540422161, 9783540422167
DOIs
Publication statusPublished - 2001
Event3rd International Conference on Audio- and Video- Based Biometric Person Authentication, AVBPA 2001 - Halmstad, Sweden
Duration: 2001 Jun 62001 Jun 8

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2091 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference on Audio- and Video- Based Biometric Person Authentication, AVBPA 2001
CountrySweden
CityHalmstad
Period01/6/601/6/8

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Lee, K., Chung, Y., & Byun, H. (2001). Face recognition using support vector machines with the feature set extracted by genetic algorithms. In Audio- and Video-Based Biometric Person Authentication - Third International Conference, AVBPA 2001, Proceedings (pp. 32-37). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2091 LNCS). Springer Verlag. https://doi.org/10.1007/3-540-45344-x_5