Face recognition using vector quantization codebook space information processing

Koji Kotani, Qiu Chen, Feifei Lee, Tadahlro Ohmi

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

Abstract

We propose a novel information-processing algorithm called Vector Quantization (VQ) codebook space information processing. Based on this algorithm, 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 VQ processing of facial image, is utilized as a very effective personal feature. Experimental results show recognition rate of 95.6% for 40 persons' 400 images of publicly available AT&T database containing variations in lighting, posing, and expressions. By combining multiple low pass filtering procedures, recognition rate increases up to 97% or higher. For utilizing the geometric 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 and jaw), recognition results with different parts are first obtained separately and then combined by weighted averaging. Topi recognition rate of 100% is obtained by using the private database, which was taken in practical environment. Based on the VQ histogram method, moreover, we have also 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 VQ histogram method. By utilizing the table look-up (TLU) method in the quantization step, the total recognition processing time is reduced to only 31 msec.

Original languageEnglish
Title of host publicationImage Processing, Biomedicine, Multimedia, Financial Engineering and Manufacturing - International Forum on Multimedia Image Processing, IFMIP - Proceedings of the Sixth Biannual World Automation Cong
EditorsM. Jamshidi, Y. Hata, A. Kamrani, J.S. Jamshidi
Pages229-236
Number of pages8
Publication statusPublished - 2004 Dec 1
EventImage Processing, Biomedicine, Multimedia, Financial Engineering and Manufacturing - International Forum on Multimedia Image Processing, IFMIP - Sixth Biannual World Automation Congress, WAC 2004 - Seville, Spain
Duration: 2004 Jun 262004 Jul 1

Other

OtherImage Processing, Biomedicine, Multimedia, Financial Engineering and Manufacturing - International Forum on Multimedia Image Processing, IFMIP - Sixth Biannual World Automation Congress, WAC 2004
CountrySpain
CitySeville
Period04/6/2604/7/1

Keywords

  • Adjacent pixel intensity difference quantization (apidq)
  • Face recognition
  • Histogram method
  • Vector quantization (vq)

ASJC Scopus subject areas

  • Engineering(all)

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