Discrete cosine transform: algorithms, advantages, applications
Discrete cosine transform: algorithms, advantages, applications
Face Recognition Using the Discrete Cosine Transform
International Journal of Computer Vision - Special issue: Research at McGill University
Using Hidden Markov Models and Wavelets for Face Recognition
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Face recognition using DCT-based feature vectors
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
Um sistema de identificação automática de faces para um ambiente virtual de ensino e aprendizagem
Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web
An improved algorithm for face recognition using wavelet and facial parameters
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
Proceedings of the CUBE International Information Technology Conference
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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.