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Abstract

Human face detection and recognition play important roles in many applications such as video surveillance and face image database management. In this paper for face recognition the algorithm various algorithms has been used like SIFT, BPNN and Genetic Algorithm in which we recognize an unknown test image by comparing it with the known training images stored in the database as well as give information regarding the person recognized. SIFT is for feature extraction, Genetic Algorithm for optimization of feature dataset and Neural Network for testing of uploaded image. The result evaluation has been done using parameters like FAR, FRR, Error Rate and Accuracy. Result values shows that proposed technique works well for different color complexion faces also and the whole implementation is taken place in MATLAB environment.

References

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Keywords

Face Recognition, SIFT, Neural Network, Genetic Algorithm.