Face recognition and verification using histogram equalization

  • Authors:

  • Kelsey Ramírez-Gutiérrez;Daniel Cruz-Pérez;Héctor Pérez-Meana

  • Affiliations:

  • Postgraduate Section of Studies and Investigation, Mechanical and Electrical Engineering School, National Polytechnic Institute, San Francisco Culuhacan, México D.F., Mexico;Postgraduate Section of Studies and Investigation, Mechanical and Electrical Engineering School, National Polytechnic Institute, San Francisco Culuhacan, México D.F., Mexico;Postgraduate Section of Studies and Investigation, Mechanical and Electrical Engineering School, National Polytechnic Institute, San Francisco Culuhacan, México D.F., Mexico

  • Venue:
  • ACS'10 Proceedings of the 10th WSEAS international conference on Applied computer science
  • Year:
  • 2010

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Abstract

This paper proposes a face recognition and verification algorithm based on histogram equalization to standardize the faces illumination reducing in such way the variations for further features extraction; using the image phase spectrum and principal components analysis, which allow the reduction of the data dimension without much information loss. Evaluation results show the desirable features of proposal scheme reaching recognition rate over 97% and a verification error lower than 0.003%