Classification of text and graphic regions on a fragment of document image
Methods for graphic and text image region classification. Construction of the narrative function characterizing areas of the image sub-elements is proposed. This function can be used for training and classification using support vector machines.
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Development of classification method, graphic and text area of the image. Building a narrative function that characterizes the size of objects in the picture. Consideration the classification of text and graphic regions on a fragment of document image.
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