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Handwritten Tamil Character Recognition Using Artificial Neural Networks

This paper proposes an approach to recognize handwritten Tamil Character recognition. Handwritten Tamil character recognition refers to the process of conversion of handwritten Tamil character into printed Tamil character. It is difficult to process handwritten characters due to the great variations in writing styles, different size and orientation angle of the characters. In the proposed system the scanned image is preprocessed and segmented into paragraphs , paragraphs into lines, lines into words and words into character image glyph. Each character image glyph is subjected to feature extraction procedure, which extracts the features such as character height, width, number of horizontal and vertical lines, horizontally and vertically oriented curves, number of circles, number of slope lines, image centroid and special dots.