Local Directional Pattern based Fuzzy Co- occurrence Matrix Features for Face recognition
نویسنده
چکیده
-This paper proposes a method for extracting GLCM Features on Local Directional Pattern based Fuzzy Co-occurrence matrix for effective face recognition. In this method Local Directional Pattern is computed on the image and then fuzzy representation is used for reduction of image edge responsiveness values. Contrast, correlation, energy and homogeneity features are evaluated over Co-occurrence matrices of LDP based fuzzy matrix in four directions 0°, 45°, 90° and 135°. Face recognition algorithm is proposed with these features. The proposed method has been intensively evaluated by applying recognition tests on FGNET and scanned facial images. The results show that this proposed method is superior to the performance obtained using the existing face recognition methods.
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