Central Local Directional Pattern Value Flooding Co-occurrence Matrix based Features for Face Recognition
نویسنده
چکیده
-In this paper proposed a method for extracting Contrast, Correlation, Energy, and, Local homogeneity features on Central Local Directional Pattern Value Flooding Matrix for face recognition. Local Directional Pattern is computed on the image and then Central Local Directional Pattern Value Flooding Matrix is formed, and on this matrix Contrast, correlation, energy and homogeneity features are evaluated in four directions 0°, 45°, 90° and 135°. Face recognition algorithm is proposed with this feature set. The proposed method has been tested on FGNET and scanned facial images. The results shown that proposed method is superior in recognizing faces compared to the other existing face recognition methods.
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