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• W2181968838 abstract "Different approaches have been proposed over the last few years for improving holistic methods for facerecognition. Some of them include color pro- cessing, different face representations and image processingtechniques to increase robustness against illumination changes. T here has been also some research about thecombination of different recognition methods, both at the feature and score levels. Embedded hidden Markov model(E-HHM) has been widely used in pattern recog- nition.The performance of Face recognition by E-HMM heavily depends on the choice of model parameters.In this paper, we proposea discriminating set ofmulti E- HMMs based face recognition algorithm. Experimental results illustrate that compared with the conventional HMMbased face recognition algorithm the proposed method obtainbetter recognition accuracies and higher generalization ability." @default.
• W2181968838 created "2016-06-24" @default.
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• W2181968838 date "2015-01-01" @default.
• W2181968838 modified "2023-09-26" @default.
• W2181968838 title "A FACE RECOGNITION SYSTEM BY HIDDEN MARKOV MODEL AND DISCRIMINING SET APPROACH" @default.
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