Face Recognition Method with Two-Dimensional HMM
نویسنده
چکیده
This paper presents an automatic face recognition system, which bases on two-dimensional hidden Markov models. The traditional HMM uses one-dimensional data vectors, which is a drawback in the case of 2D image processing, as part of the information is lost during the conversion. The article presents the full ergodic 2D-HMM and used it to identify faces. The experimental results demonstrate that the system basing on two dimensional hidden Markov models, is able to achieving an average recognition rate of 94%.
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