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Classic transformation methods have been widely and efficiently used in image processing areas, such as image de-noising, image segmentation, feature detection, and compression. Based on their compact signal and image representation ability, we apply the transform based techniques on the video recognition area to extract discriminative information from each given video sequence, and use the transformed...
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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