Universiti Teknologi Malaysia Institutional Repository

On the segmentation of multiple touched cursive characters: a heuristic approach

Saba, Tanzila and Sulong, Ghazali and Rahim, Shafry and Rehman, Amjad (2010) On the segmentation of multiple touched cursive characters: a heuristic approach. In: Information and Communication Technologies: International Conference, ICT 2010, Kochi, Kerala, India, September 7-9, 2010. Proceedings. Communications in Computer and Information Science . Springer Berlin Heidelberg, Germany, 540 - 542. ISBN 978-3-642-15765-3

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Official URL: http://dx.doi.org/10.1007/978-3-642-15766-0_91


Heuristics are based on the experiences and solves problems approximately that cannot be solved exactly. In handwritten documents recognition, the most difficult phase is touched character segmentation as incorrectly segmented characters cannot be recognized correctly. Accordingly, this paper presents a heuristic approach for multiple touched cursive characters. Initially, a possible segmentation zone is detected using peak to valley function. Next, greedy best search algorithm is implemented in the possible segmentation zone for touched characters segmentation. Experimental results on a test set extracted from the IAM benchmark database exhibit high segmentation accuracy up to 91.63%. Moreover, proposed approach is very fast and can handle multiple cursive touching characters.

Item Type:Book Section
Uncontrolled Keywords:OCR, touched characters segmentation, heuristics, peak to valley function, greedy best search
Subjects:Q Science
Divisions:Computer Science and Information System (Formerly known)
ID Code:31226
Deposited By: Liza Porijo
Deposited On:17 Sep 2013 16:41
Last Modified:05 Feb 2017 08:42

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