Feature Image Generation Using Low, Mid and High Frequency Regions for Face Recognition

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In this paper, the authors propose a generation of feature image for face recognition. Feature image is generated using Discrete Cosine Transform (DCT), which tries to best classify different face images by maximizing the individual difference between face images. Low, Mid, and High frequency components of DCT are used to hold different information of face by providing a local description of different facial components such as detailed smooth region description and, effective edge representation. Reduction in different frequency components is achieved using statistical measure such as standard deviation.