Face recognition using DCT coefficients selection

  • Authors:
  • Fabrizia M. de S. Matos;Leonardo V. Batista;JanKees v. d. Poel

  • Affiliations:
  • COINFO/CEFET-PB PPGI/DI/UFPB, Brasil;PPGI/DI/UFPB PPGEM/DEM/UFPB, Brasil;PPGEM/DEM/UFPB, Brasil

  • Venue:
  • Proceedings of the 2008 ACM symposium on Applied computing
  • Year:
  • 2008

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Abstract

This paper presents a face recognition method based on Discrete Cosine Transform (DCT) coefficient's selection. Without a normalization phase, the proposed method uses, in its feature selection stage, a technique based only on the DCT coefficients amplitudes. Three coefficient selection criterions were analyzed: the first one is the average of the coefficients' amplitudes; the second one is based on counting the occurrence of each coefficient, which are stored in a set of lists containing the most significant coefficients; finally, the third criterion is based on the average position of the coefficients in a list of coefficients ordered by amplitude. Experimental tests on the ORL Face Database [1] achieved 99.00% of recognition accuracy using only 50 DCT coefficients, with low computational cost. Additionally, the method achieved 100.00% of recognition accuracy when the correct face is within a range of eight returned faces.