A Hardware-Directed Face Recognition System Based on Local Eigen-analysis with PCNN

A new face recognition system based on eigenface analysis on segments of face images is discussed in this paper. The eigenfaces are extracted using principal component neural networks. The proposed recognition system can tolerate local variations in the face such as expression changes and directional lighting. Further, the system can be easily mapped onto the hardware.

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