Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2011-04-07
Computer Science
Computer Vision and Pattern Recognition
7 pages, 2 figures. In proceedings of the Second International Conference on Information Processing (ICIP), pp. 198-204, Banga
Scientific paper
Facial expressions convey non-verbal cues, which play an important role in interpersonal relations. Automatic recognition of human face based on facial expression can be an important component of natural human-machine interface. It may also be used in behavioural science. Although human can recognize the face practically without any effort, but reliable face recognition by machine is a challenge. This paper presents a new approach for recognizing the face of a person considering the expressions of the same human face at different instances of time. This methodology is developed combining Eigenface method for feature extraction and modified k-Means clustering for identification of the human face. This method endowed the face recognition without using the conventional distance measure classifiers. Simulation results show that proposed face recognition using perception of k-Means clustering is useful for face images with different facial expressions.
Bag Soumen
Barik Soumen
Sanyal Gautam
Sen Prithwiraj
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