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An automatic color facial expression recognition system has been designed and developed using multiple classifier classifications. This facial expression recognition system involves extracting the most communicative facial parts such as forehead, eyes with eyebrows, nose and mouth. Then these extracted features are trained individually using different classification system. Finally, a super classifier...
In this paper, we propose a novel fusion-based gender classification method that is able to compensate for facial expression even when training samples contain only neutral expression. We perform experimental investigation to evaluate the significance of different facial regions in the task of gender classification. Three most significant regions are used in our fusion-based method. The classification...
In this paper, we describe an experimental investigation to evaluate the significance of different facial regions of a person in the task of gender classification. For this purpose we use a support vector machine (SVM) classifier on face images for gender classification. We perform experiments using different facial regions of varying resolution so that the significance of facial regions in this application...
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