dc.contributor.author | Abduallah, Arif Billah Al-Mahmud | |
dc.contributor.author | Khan, Mumit | |
dc.date.accessioned | 2010-10-27T09:19:16Z | |
dc.date.available | 2010-10-27T09:19:16Z | |
dc.date.copyright | 2007 | |
dc.date.issued | 2007 | |
dc.identifier.uri | http://hdl.handle.net/10361/649 | |
dc.description | Includes bibliographical references (page 5). | |
dc.description.abstract | Script segmentation is an important primary task for any Optical Character Recognition (OCR) software. Especially, in case of off-line OCR for printed character, it has more importance. Through script segmentation a big image of some written document is
fragmented into a number of small pieces which are then used for pattern matching to determine the expected sequence of characters. In the implementation of Bangla OCR, the script segmentation may also play a vital role. But, for accurate and proper segmentation it is necessary to identify the properties of Bangla script as well as the
exceptions. This paper depicts the most important and useful properties, advantages, disadvantages of various Bangla scripts, especially the printed scripts. It also gives some ideas regarding the prospective
field of Bangla OCR and its applications. | en_US |
dc.description.statementofresponsibility | Arif Billah Al-Mahmud Abdullah | |
dc.description.statementofresponsibility | Mumit Khan | |
dc.format.extent | 5 pages | |
dc.language.iso | en | en_US |
dc.publisher | Center for research on Bangla language processing (CRBLP), BRAC University | en_US |
dc.subject | Bangla language processing | |
dc.subject | Bangla OCR | |
dc.title | A survey on script segmentation for Bangla OCR | en_US |
dc.type | Technical report | en_US |
dc.contributor.department | Center for Research on Bangla Language Processing (CRBLP), BRAC University | |