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Segmentation of Bangla handwritten text

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dc.contributor.author Sadik, Sabbir
dc.contributor.author Sarwar, Md. Numan
dc.date.accessioned 2012-09-12T10:00:32Z
dc.date.available 2012-09-12T10:00:32Z
dc.date.issued 2012-08-13
dc.identifier.other ID 09301027
dc.identifier.other ID 09201027
dc.identifier.uri http://hdl.handle.net/10361/1974
dc.description The thesis is submitted to the Department of Computer Science and Engineering (CSE), BRAC University, in partial fulfillment of the requirements for the degree of Bachelor in Computer Science (BSc). en_US
dc.description.abstract Segmentation of handwritten text is the pre-process of recognition of handwritten text. Because of skewed lines, touching characters and different writing styles, segmentation of handwritten text is difficult than printed text. Correct segmentation is necessary to recognize the characters properly. That’s why a good segmentation is needed. Segmentation of Bangla handwritten text is a great challenge because of its complex characteristics. Till now there are very few works on Bangla handwritten text segmentation and still there are some problems that can’t be solved. After analyzing some methods and techniques that have already been done, here we propose a recursive algorithm for line, word and character segmentation. The algorithm works well if there is no overlapping situation between lines and characters as well. en_US
dc.publisher Department of Computer Science and Engineering (CSE) en_US
dc.title Segmentation of Bangla handwritten text en_US
dc.type Thesis en_US


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