Comparative performance evaluation of gray-scale and color information for face recognition tasks

Srinivas Gutta, Jeffrey Huang, Chengjun Liu, Harry Wechsler

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

4 Scopus citations

Abstract

This paper assesses the usefulness of color information for face recognition tasks. Experimental results using the FERET database show that color information improves performance for detecting and locating eyes and faces, respectively, and that there is no significant difference in recognition accuracy between full color and gray-scale face imagery. Our experiments have also shown that the eigenvectors generated by the red channel lead to improved performance against the eigenvectors generated from all the other monochromatic channels. The probable reason for this observation is that in the near infrared portion of the electro-magnetic spectrum, the face is least sensitive to changes in illumination. As a consequence it seems that the color space as a whole does not improve performance on face recognition but that when one considers monochrome channels on their own the red channel could benefit both learning the eigenspace and serving as input to project on it.

Original languageEnglish (US)
Title of host publicationAudio- and Video-Based Biometric Person Authentication - Third International Conference, AVBPA 2001, Proceedings
PublisherSpringer Verlag
Pages38-43
Number of pages6
ISBN (Print)3540422161, 9783540422167
DOIs
StatePublished - 2001
Externally publishedYes
Event3rd International Conference on Audio- and Video- Based Biometric Person Authentication, AVBPA 2001 - Halmstad, Sweden
Duration: Jun 6 2001Jun 8 2001

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
Period6/6/016/8/01

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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