A Novel Image Preprocessing Technique Based on Binary Patterns
نویسندگان
چکیده
This paper proposes a novel image preprocessing technique based on binary patterns for illumination invariant face recognition. The face recognition system comprised of a centralized gradient pattern image and facial features based on image covariance. The centralized gradient pattern image is obtained by AND operation of a modified local binary pattern image and a modified local directional pattern image, and it is then utilized as input image for the facial feature extraction based on image covariance. To verify the proposed face recognition method, the performance evaluation was carried out using various recognition algorithms on the Yale B and extended Yale B face databases. Through the experimental results, the proposed method showed the best recognition accuracy compared to various approaches.
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