What kind of color spaces is suitable for color face recognition?

Jian Yang, Chengjun Liu, Jing yu Yang

Research output: Contribution to journalArticlepeer-review

25 Scopus citations


Human faces display different color and recent research efforts show that color is useful for face recognition. This paper presents a discriminant color space method and demonstrates its effectiveness using the FRGC Experiment 4 database and the AR database. We find that the discriminant color space is an approximate double-zero-sum (DZS) color space, and further show that a color space with DZS characteristic is more powerful than other color spaces without this characteristic. We finally provide the justification for why the DZS color spaces is more effective than non-DZS color spaces for face verification and recognition from the mutual correlation point of view.

Original languageEnglish (US)
Pages (from-to)2140-2146
Number of pages7
Issue number10-12
StatePublished - Jun 2010

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence


  • Color space
  • Face recognition
  • Fisher linear discriminant analysis
  • Image recognition


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