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A layout recognition method for multi-page document image is proposed in this paper. Because there exists of spacings in vertical and horizontal direction in this kind of document, vertical and horizontal projection are used to extract the layout feature and Naive Bayes classifier is generated to realize the layout recognition of multi-page document. Experimental results show that the method of this...
An approach for document orientation detection and classification by using support vector machine (SVM) theorem is proposed in this paper. First, all the characters in a document image will be isolated and some valid ones are selected. Using the valid characters, the document image will be vectorized to a 32-dimensional vector by the feature extracting. By training lots of samples, an SVM classifier...
In this paper, an efficient support vector machine (SVM) algorithm for solving multi-class pattern recognition problems is proposed. The samples in each class are trained by one-class SVM (OCSVM), respectively. And then several sets of support vectors (SVs) are obtained, which well express the distribution of the original training samples. These SVs finally are combined into a set of training samples...
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