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32nd Applied Imagery Pattern Recognition Workshop (AIPR'03)
A Hybrid Approach to Character Segmentation of Gurmukhi Script Characters
Washington, DC
October 15-October 17
ISBN: 0-7695-2029-4
Neena Madan Davessar, Guru Nanak Dev University, Amritsar, India
Sunil Madan, M.Tech. (Comp. Sc. & Engg.)
Hardeep Singh, Guru Nanak Dev, Amritsar, India
A new approach to segmentation of machine printed Gurmukhi text has been suggested. This approach can easily be extended to other Indian language scripts such as Devnagri and Bangla. Most of the characters in these scripts have horizontal lines at the top called headlines. Besides, there are cases in which the characters are found touching in the scanned image, just below the headline. To resolve these issues, a two-pass mechanism is used. In pass-one it approximates the segmentation point, while in pass-two the cutting point is optimized. This approach has been very successful in segmenting a pair as well as triplets of touching characters.
Citation:
Neena Madan Davessar, Sunil Madan, Hardeep Singh, "A Hybrid Approach to Character Segmentation of Gurmukhi Script Characters," aipr, pp.169, 32nd Applied Imagery Pattern Recognition Workshop (AIPR'03), 2003
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