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Optical Character Recognition (OCR) is the well-known software product, which is used to automatically process the document images. It is defined as the process of converting scanned document images of machine printed or handwritten text into a computer editable format. In this paper, Wrapping based Curvelet transform is proposed to perform feature extraction. An attempt is also made to perform dimensionality...
The challenging task in the field of Document Image Analysis is automatic recognition of handwritten characters present in a scanned document. The recognition of characters in a document is achieved by Optical Character Recognition (OCR) system. In this paper, a hybrid feature extraction technique is proposed for recognizing handwritten Kannada characters. The proposed technique uses the local and...
Morphological analyzer is a tool which identifies and analyzes the internal structure of given word and also gives the morphological and grammatical information associated with the given word. Kannada is an inflectional, derivational, agglutinative and morphologically very rich language. Developing a well-fledged morphological analyzer (MA) for Kannada is a challenging task. In this paper, a hybrid...
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