Face recognition using Markov stationary features and vector quantization histogram

Qiu Chen, Koji Kotani, Feifei Lee, Tadahiro Ohmi

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

5 Citations (Scopus)

Abstract

We have proposed a very simple yet highly reliable face recognition algorithm using VQ histogram. This histogram, obtained by Vector Quantization (VQ) processing for the facial image, is utilized as a very effective personal feature. In this paper, we combine the VQ histogram with Markov Stationary Features (MSF) so as to add spatial structure information to histogram. Experimental results show maximum average recognition rate of 96.16% is obtained for 400 images of 40 persons from the publicly available face database of AT&T Laboratories Cambridge.

Original languageEnglish
Title of host publicationProceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014
EditorsXingang Liu, Didier El Baz, Ching-Hsien Hsu, Kai Kang, Weifeng Chen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1934-1938
Number of pages5
ISBN (Electronic)9781479979813
DOIs
Publication statusPublished - 2015 Jan 26
Event17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014 - Chengdu, China
Duration: 2014 Dec 192014 Dec 21

Publication series

NameProceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014

Other

Other17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014
CountryChina
CityChengdu
Period14/12/1914/12/21

Keywords

  • Face recognition
  • Histogram feature
  • Markov Stationary Features (MSF)
  • Vector Quantization (VQ)

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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