Face recogntion using region-division VQ histogram method

Qiu Chen, Koji Kotani, Feifei Lee, Tadahiro Ohmi

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

1 Citation (Scopus)

Abstract

We have developed a very simple yet highly reliable face recognition method called VQ histogram method. Codevector referred (or matched) count histogram, which is obtained by Vector Quantization (VQ) processing of facial image, is utilized as a very effective personal feature value. In our work, for utilizing the position information of the face, furthermore, a region-division VQ histogram method is proposed in this paper. We divide the facial area into 5 regions of facial parts (forehead, eye, nose, mouth, jaw), recognition results with different parts are first obtained separately and then combined by weighted averaging. Topi recognition rate of 97.4% is obtained by using FB task (1195 images) of the standard FERET database. Based on VQ histogram method, moreover, we also have developed simple face recognition method called Adjacent Pixel Intensity Difference Quantization (APIDQ) Histogram Method, which is much simpler and has equivalent performance in feature extraction as compared with the former. By utilizing the table look-up (TLU) method in the quantization step, the total recognition processing time is reduced to only 147 msec.

Original languageEnglish
Title of host publicationSixth IASTED International Conference on Signal and Image Processing
EditorsM.H. Hamza
Pages64-68
Number of pages5
Publication statusPublished - 2004 Dec 27
EventSixth IASTED International Conference on Signal and Image Processing - Honolulu, HI, United States
Duration: 2004 Aug 232004 Aug 25

Publication series

NameSixth IASTED International Conference on Signal and Image Processing

Other

OtherSixth IASTED International Conference on Signal and Image Processing
CountryUnited States
CityHonolulu, HI
Period04/8/2304/8/25

Keywords

  • Face recognition
  • Histogram method
  • Region-division
  • Vector quantization (VQ)

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Chen, Q., Kotani, K., Lee, F., & Ohmi, T. (2004). Face recogntion using region-division VQ histogram method. In M. H. Hamza (Ed.), Sixth IASTED International Conference on Signal and Image Processing (pp. 64-68). (Sixth IASTED International Conference on Signal and Image Processing).