Title :
Segmentation of printed bangla characters using structural properties of Bangla script
Author :
Chowdhury, Mohammad Isbat Sakib ; Dey, Barnali ; Rahman, Md Saifur
Author_Institution :
Dept. of Electr. & Electron. Eng., Bangladesh Univ. of Eng. & Technol., Dhaka
Abstract :
Some difficulties arise in segmentation of Bangla characters because of their unique structural properties, such as, having connectors adjoining two characters and vowel modifiers modifying either the top portion or the bottom portion of a character. This paper presents some ways to overcome these problems by taking into account these unique properties and thereby increases the accuracy of character segmentation of printed Bangla scripts that leads to greater accuracy of optical character recognition applications.
Keywords :
handwritten character recognition; image segmentation; natural languages; optical character recognition; optical character recognition; printed Bangla character segmentation; printed Bangla scripts; Character recognition; Connectors; Image segmentation; Optical character recognition software; Shape; Speech recognition; Strips; Writing;
Conference_Titel :
Electrical and Computer Engineering, 2008. ICECE 2008. International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4244-2014-8
Electronic_ISBN :
978-1-4244-2015-5
DOI :
10.1109/ICECE.2008.4769288