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A new method for face recognition based on weighted votes on different sub-images of a picture is proposed. The proposed method is robust under illumination variations and achieves the illumination invariants based on the reflectance-illumination model. The proposed method does not require any prior information about the face shape or illumination and can be applied on each image separately. It does...
An efficient method for face recognition which is robust under illumination variations is proposed. The proposed method achieves the illumination invariants based on the reflectance-illumination model. Different high-pass filters have been tested to achieve the reflectance part of the image which is illumination invariant and maximum filter is proposed as the best method for this purpose. The proposed...
Face recognition, the main biometric used by human beings, has plenty of applications in identity validation and recognition and has become one of the hottest topics in the area of image processing and pattern recognition. Pseudo-Zernike moment invariant was chosen as the feature extractor due to its good results among other moment invariants. In this paper pseudo-Zernike moment invariant has been...
Human face recognition has recently become one of the hottest topics in the area of pattern recognition due to its applications in identity validation and recognition. Moment Invariants are pattern sensitive features and are used in pattern recognition applications. In this paper different moment invariants have been used to extract features from human face images for recognition application. Moment...
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