Performance Analysis of Facial Expression Recognition Schemes
نویسندگان
چکیده
Face recognition plays an important vision task having many practical applications such as biometrics, video surveillance, image retrieval, and human computer interaction. Most recently facial expression recognition has been focused for biometric facial recognition system in various confidential and high secured operational areas. Information for biometric representation and recognition are available in image space, scale and orientation. Combinatorial analysis of space, scale and orientation provide enriched features for more accurate biometric facial recognition. Position, spatial frequency and orientation selectivity properties of facial feature components play major role in visual perception. There are various methods have discussed for Facial Expression Recognition scheme for human biometric recognition. In this work we
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