DocumentCode :
3013442
Title :
An Algorithm for Segmenting Modifiers from Bangla Text
Author :
Akter, Nasreen ; Hossain, Saima ; Islam, Tajul ; Sarwar, Hasan
Author_Institution :
Mil. Inst. of Sci. & Technol. (MIST), Dhaka
fYear :
2008
fDate :
24-27 Dec. 2008
Firstpage :
177
Lastpage :
182
Abstract :
Script segmentation is an essential and preprocessing task for any OCR system. Bangla is one of the most popular scripts in the world. Since segmentation effects the recognition process, accurate and proper segmentation is necessary to implement Bangla OCR. Many works have been done for both handwritten and printed Bangla text. This paper presents the segmentation process of different Bangla modifiers from printed Bangla words.
Keywords :
document image processing; handwritten character recognition; image segmentation; optical character recognition; handwritten Bangla text; optical character recognition; printed Bangla words; script segmentation modifier algorithm; Character recognition; Floods; Information technology; Military computing; Optical character recognition software; Piecewise linear techniques; Bangla Modifier; Optical Character Recognition; Segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Technology, 2008. ICCIT 2008. 11th International Conference on
Conference_Location :
Khulna
Print_ISBN :
978-1-4244-2135-0
Electronic_ISBN :
978-1-4244-2136-7
Type :
conf
DOI :
10.1109/ICCITECHN.2008.4803049
Filename :
4803049
Link To Document :
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