Handwritten Hindi Text Segmentation Techniques for Lines and Characters

This paper mainly deals with the new methods for line segmentation and character segmentation of overlapping characters of Handwritten Hindi text. The text is segmented into lines, lines into words and then from lines words header lines are detected and converted as straight lines. Each word is divided into three parts upper modifier, consonant and lower, so that character segmentation becomes easy. Algorithm is finding the header lines and base lines by estimating the average line height and based on it. This algorithm works efficiently on overlapped characters for different text sizes and different resolutions images.

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