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OALib Journal期刊
ISSN: 2333-9721
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Signature Analysis based Character Recognition Approach

Keywords: Character set , projections , recognition , features , document processing , Histogram , Digitization.

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Abstract:

The Character Recognition of both typed as well as handwritten characters is still an open area of research. Although significant success has been achieved in type written characters but in handwritten it is still to touch an appreciable level. This research proposes an approach of character recognition which besides producing better results of recognition is extremely less complicated as compared to the prevalent ones. The proposed method is independent of the size of the Character being recognized and is able to accommodate character styles which have slight variations and also does not require thinning and other preprocessing measures as is required in other approaches

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