In this article, we present an automatic face recognition system. We show that fractal features obtained from\r\nIterated Function System allow a successful face recognition and outperform the classical approaches. We propose\r\na new fractal feature extraction algorithm based on genetic algorithms to speed up the feature extraction step. In\r\norder to capture the more important information that is contained in a face with a few fractal features, we use a\r\nbi-dimensional principal component analysis. We have shown with experimental results using two databases as to\r\nhow the optimal recognition ratio and the recognition time make our system an effective tool for automatic face\r\nrecognition.
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