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Skew angle detection of bangla script using radon transform

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dc.contributor.author Habib, S. M. Murtoza
dc.contributor.author Noor, Nawsher Ahamed
dc.contributor.author Khan, Mumit
dc.date.accessioned 2010-10-04T07:40:41Z
dc.date.available 2010-10-04T07:40:41Z
dc.date.copyright 2006
dc.date.issued 2006
dc.identifier.uri http://hdl.handle.net/10361/321
dc.description Includes bibliographical references (page 5).
dc.description.abstract Skew angle detection and correction an integral part of any OCR system. Without proper skew correction, the performance of an OCR will simply not be acceptable for most scanned images. We propose an innovative method for skew angle detection and correction for Bangla scripts using the Radon Transform. The basic idea is to identify the upper envelope by detecting the headline that accompanies most of the letters in the Bangla script, and then apply the Radon Transform to this upper envelope to get the skew angle. Once the angle is known, the correction is quite trivial to perform. While the current implementation handles only a single skew angle per text image, it can be extended to handle multiple skew angles by partitioning the document image. en_US
dc.description.statementofresponsibility S. M. Murtoza Habib
dc.description.statementofresponsibility Nawsher Ahamed Noor
dc.description.statementofresponsibility Mumit Khan
dc.format.extent 5 pages
dc.language.iso en en_US
dc.publisher BRAC University en_US
dc.subject Upper envelope en_US
dc.subject Skew angle en_US
dc.subject radon transform en_US
dc.title Skew angle detection of bangla script using radon transform en_US
dc.type Article en_US
dc.contributor.department Center for Research on Bangla Language Processing (CRBLP), BRAC University


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