Ravindra Balkrishna Shet

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In a multi-lingual country like India, script segmentation or script separation of the multi-script in an image of a document page is of primary importance for a script identification system. For script segmentation of such a document page, it is necessary to segment multi script forms before running individual OCR of the script. In this paper we present a(More)
In a multi script environment, majority of the documents may contain text information printed in more than one script/language forms. For automatic processing of such documents through Optical Character Recognition (OCR), it is necessary to identify different script regions of the document. In this context, this paper proposes to develop a model to identify(More)
Identi cation of the script in an image of a document page is of primary importance for a system processing multi-lingual documents. In this paper two trainable classi cation schemes have been proposed for identi cation of Indian scripts. Both the schemes use connected components extracted from the textual region. The rst classi er uses the novel Gabor(More)
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