Feature Extraction Techniques for Face Recognition
نویسندگان
چکیده
Face Recognition is non-intrusive method of identifying individual faces by the feature extraction and classification of faces. Facial feature extraction is one of the most important and attempted problems in computer vision. This paper compares the different facial feature extraction techniques like geometry-based feature extraction (Gabor wavelet transform), appearance based techniques, color segmentation based techniques and template based feature extraction. These techniques provide diverse performance with various factors such as illumination variation, face expression variation noise and orientation.
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