Face Recognition System Under Uncontrolled Illumination Variation

In this paper, proposed a robust Face Recognition System under uncontrolled illumination variation. In this Face recognition system consists of three phases, illumination-insensitive preprocessing method, Feature-extraction and score fusion. In the preprocessing stage illumination sensitive image transformed into illumination-insensitive image, and then to combines multiple classifiers with complementary features instead of improving the accuracy of a single classifier. Score fusion computes a weighted sum of scores, where the weight is a measure of the discriminating power of the component classifier. In this system demonstrated successful accuracy in face recognition under different illumination condition.