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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 for recognition and verification with one sample image per class. ... Now HMM [102] is ...
Programming of 2D HMM for face recognition.
Programming of 2D HMM for face recognition. ... One-Sample Face Recognition Using HMM Model of Fiducial Areas. ... an effective algorithm for recognition and verification with one sample image per ...
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 ...
core.ac.uk/display/27728510
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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 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 ......
https://core.ac.uk/display/104095900
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Solomon A. ADENIRAN's research works | Obafemi Awolowo ...
Normally 5-state HMM is used in the researches made for face recognition system. ... Reference: Face Recognition: A Survey One-Sample Face Recognition Using HMM Model of Fiducial Areas
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 ......