Using hidden Markov models and wavelets for face recognition

  title={Using hidden Markov models and wavelets for face recognition},
  author={Manuele Bicego and Umberto Castellani and Vittorio Murino},
In this paper, a new system for face recognition is proposed, based on Hidden Markov Models (HMMs) and wavelet coding. A sequence of overlapping sub-images is extracted from each face image, computing the wavelet coefficients for each of them. The whole sequence is then modelled by using Hidden Markov Models. The proposed method is compared with a DCT coefficients-based approach [9], showing comparable results. By using an accurate model selection procedure, we show that results proposed in [9… CONTINUE READING
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