Face recognition using generalized self organising map based on PCNN features

This paper presents an efficient face recognition method invariant to slight variation in pose, illumination and background where pulse coupled neural network (PCNN) is used to compute time signature used for feature extraction and generalized self organizing map is being used for classification. The efficiency has been significant improvement by combining PCNN which better resemble human brain neurons and possess better computation power in terms of performance than other neural networks. It is coupled with generalized self organizing map for recognition. The proposed method is robust as it provided better result for slight variation of background and pose and recognition time is greatly reduced.

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