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One-Sample Face Recognition Using HMM Model of Fiducial Areas
One-Sample Face Recognition Using HMM Model of Fiducial Areas . ... This paper describes an effective algorithm forrecognition and verification with one sample image per class. It uses two dimensional discretewavelet transform (2D DWT) to extract features from images; and hidden Markov model (HMM)was used for training, recognition and ...
One-sample Face Recognition Using HMM Model of Fiducial Areas
One-sample Face Recognition Using HMM Model of Fiducial Areas . ... This paper describes an effective algorithm for recognition and verification with one sample image per class. It uses two dimensional discrete wavelet transform (2D DWT) to extract features from images; and hidden Markov model (HMM) was used for training, recognition and ......
Seven State HMM-Based Face Recognition System along with ...
J.A. Ojo and S.A. Adeniran, “One-sample Face Recognition Using HMM Model of Fiducial Areas”, International Journal of Image Processing (IJIP), volume 5: Issue-1, pp: 58-68, 2011. S. Raut and S.H.Patil, “Face Recognition using Maximum Confidence Hidden Markov Model”, Proceedings of International Journal of Advances in Engineering and ......
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