Face Verification System based on Integral Normalized Gradient Image(INGI)

Face Recognition is to refine the notion of a biometric imposter, and show that the traditional measures of identification and verification performance. Recognition algorithm performs scores on disjoint populations to institute a means of computing and display distribution-free estimates of the dissimilarity in verification vs. false alarm performance. The proposed face recognition system consists of an Illumination Insensitive Preprocessing Method, A Hybrid Fourier-Based Facial Feature Extraction, and Score Fusion Scheme. In pre-processing stage, a figure is normalized and integrated called "integral normalized gradient image". Then, in feature extraction of complementary classifiers, for multiple face models hybrid Fourier features is applied. Multiple face models are generated by normalized face images that have different