Pham Anh Phuong

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This paper proposes an efficient recognition model for isolated Vietnamese handwritten character recognition. Based on connected regions of image we try to determine character image that belongs to a group of characters which has either diacritical mark or not. In our model, character part and its diacritical mark part could be separately defined and they(More)
Based on SVMs (Support Vector Machines) classification where statistical features are extracted, this paper proposes an efficient recognition model for isolated Vietnamese handwritten character recognition. We apply combining reduced set method and dimension reduction of input feature vectors to improve the speed of recognition model. Our test results over(More)
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