Face Recognition Using the Discrete Cosine Transform

  • Authors:
  • Ziad M. Hafed;Martin D. Levine

  • Affiliations:
  • Center for Intelligent Machines, McGill University, 3480 University Street, Montreal, Canada H3A 2A7. zhafed@cim.mcgill.ca;Center for Intelligent Machines, McGill University, 3480 University Street, Montreal, Canada H3A 2A7. levine@cim.mcgill.ca

  • Venue:
  • International Journal of Computer Vision - Special issue: Research at McGill University
  • Year:
  • 2001

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Abstract

An accurate and robust face recognition system was developed and tested. This system exploits the feature extraction capabilities of the discrete cosine transform (DCT) and invokes certain normalization techniques that increase its robustness to variations in facial geometry and illumination. The method was tested on a variety of available face databases, including one collected at McGill University. The system was shown to perform very well when compared to other approaches.