Feature facial image recognition using VQ histogram in the DCT domain

Qiu Chen, Koji Kotani, Feifei Lee, Tadahiro Ohmi

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

3 Citations (Scopus)

Abstract

In this paper, a novel algorithm using vector quantization (VQ) method for facial image recognition in DCT domain is presented. Firstly, feature vectors of facial image are generated by using DCT (Discrete Cosine transform) coefficients in low frequency domains. Then codevector referred count histogram, which is utilized as a very effective personal feature value, is obtained by Vector Quantization (VQ) processing. Publicly available AT&T database of 40 subjects with 10 images per subject containing variations in lighting, posing, and expressions, is used to evaluate the performance of the proposed algorithm. Experimental results show face recognition using proposed feature vector is very efficient. The highest average recognition rate of 94.8% is obtained.

Original languageEnglish
Title of host publication2nd International Conference on Digital Image Processing
DOIs
Publication statusPublished - 2010 Mar 22
Event2nd International Conference on Digital Image Processing - Singapore, Singapore
Duration: 2010 Feb 262010 Feb 28

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7546
ISSN (Print)0277-786X

Other

Other2nd International Conference on Digital Image Processing
CountrySingapore
CitySingapore
Period10/2/2610/2/28

Keywords

  • DCT domain
  • Face recognition
  • Vector quantization (VQ)

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Chen, Q., Kotani, K., Lee, F., & Ohmi, T. (2010). Feature facial image recognition using VQ histogram in the DCT domain. In 2nd International Conference on Digital Image Processing [75460J] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7546). https://doi.org/10.1117/12.855647