A Hybrid Approach to Character Segmentation of Gurmukhi Script Characters

Washington, DC October 15-October 17

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http://doi.ieeecomputersociety.org/10.1109/AIPR.2003.1284267

32nd Applied Imagery Pattern Recognit ...

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	Neena Madan Davessar, Sunil Madan, Hardeep Singh, "A Hybrid Approach to Character Segmentation of Gurmukhi Script Characters," Applied Image Pattern Recognition Workshop,, pp. 169, 32nd Applied Imagery Pattern Recognition Workshop (AIPR'03), 2003.

	BibTex	x
	@article{ 10.1109/AIPR.2003.1284267, author = {Neena Madan Davessar and Sunil Madan and Hardeep Singh}, title = {A Hybrid Approach to Character Segmentation of Gurmukhi Script Characters}, journal ={Applied Image Pattern Recognition Workshop,}, volume = {0}, year = {2003}, isbn = {0-7695-2029-4}, pages = {169}, doi = {http://doi.ieeecomputersociety.org/10.1109/AIPR.2003.1284267}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Applied Image Pattern Recognition Workshop, TI - A Hybrid Approach to Character Segmentation of Gurmukhi Script Characters SN - 0-7695-2029-4 SP EP A1 - Neena Madan Davessar, A1 - Sunil Madan, A1 - Hardeep Singh, PY - 2003 KW - null VL - 0 JA - Applied Image Pattern Recognition Workshop, ER -

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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