FACE RECOGNITION SYSTEM USING MULTIPLE FACE MODEL OF HYBRID FOURIER FEATURE UNDER UNCONTROLLED ILLUMINATION VARIATION
US$28.86
10000 in stock
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We have proposed a whole face recognition system with preprocessing, feature extraction and classifier, and score fusion methods for uncontrolled illumination situations. In addition, multiple face models are generated by plural normalized face images that have different eye distances. The proposed method will be useful for the scenarios where the input images have small resolution and it has the benefits of lower computational complexity compared to the local feature-based methods. The proposed face recognition system consists of a novel illumination-insensitive preprocessing method, a hybrid Fourier-based facial feature extraction, and a score fusion scheme. The use of complementary classifiers, multiple face models based upon hybrid Fourier features enables the application to solve problem complexity.
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