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This paper presents a new framework of face recognition system that utilizes partial information available from front face where the users are willing and able to provide for access control. It is especially useful for people where part of their face is scarred and defect thus need to be covered. Hence, either top part/eye region (people is wearing veil or mask) or bottom part of face (people is wearing...
One of the challenges in face recognition system is to deal with inhomogeneous intensity problem that occur with different lighting conditions. In this paper, comparisons are made on several pre-processing methods i.e. histogram equalization, local binary pattern, wavelet transform and multiscale retinex. First, the input image is pre-processed with the illumination correction method before the classification...
Feature representation and classification are two key steps for face recognition. A novel method for face recognition was presented based on combination of PCA (principal component analysis), LDA (linear discriminate analysis) and SVM (support vector machine). PCA and LDA combination was used for feature extraction and SVM were used for classification. The normalization had been done to eliminate...
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