Devnagari document segmentation using histogram approach

Details Devnagari document segmentation using histogram approach Devnagari document segmentation using histogram approach

2011-09-06

arxiv.org/abs/1109.1247v1

International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), Vol.1, No.3, 2011, 46-53

Computer Science

Computer Vision and Pattern Recognition

8 pages; 4 figures; 8 tables; journal paper: International Journal of Computer Science, Engineering and Information Technology

Scientific paper

10.5121/ijcseit.2011.1305

Document segmentation is one of the critical phases in machine recognition of any language. Correct segmentation of individual symbols decides the accuracy of character recognition technique. It is used to decompose image of a sequence of characters into sub images of individual symbols by segmenting lines and words. Devnagari is the most popular script in India. It is used for writing Hindi, Marathi, Sanskrit and Nepali languages. Moreover, Hindi is the third most popular language in the world. Devnagari documents consist of vowels, consonants and various modifiers. Hence proper segmentation of Devnagari word is challenging. A simple histogram based approach to segment Devnagari documents is proposed in this paper. Various challenges in segmentation of Devnagari script are also discussed.

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