DocumentCode
3398177
Title
OSDT: Outer Shape Detection Technique for Recognition of Bangla Optical Character
Author
Al Imran, M. ; Hossain, Jobed ; Dey, Tanay ; Debroy, Bijan Kumar ; Abir, Ahsan Habib
Author_Institution
Dept. of Comput. Sci. & Eng., Khulna Univ. of Eng. & Technol., Khulna, Bangladesh
fYear
2009
fDate
21-23 Dec. 2009
Firstpage
384
Lastpage
389
Abstract
Optical character recognition is one of the challenging fields in recognition of printed Bangla text. The main difficulties are that there are no precise techniques or algorithms for separating lines, words, and characters from printed Bangla text and efficiently recognize these separate characters. In this paper, we introduce new methods to separate lines, words, and characters from printed Bangla text. We also propose outer shape detection technique (OSDT), a new technique to recognize each character based on its outer shape which is unique. To successfully accomplish this, proposed technique scans each character both from its left side and right side. Finally our experimental results are compared with some prevalent ones which precisely show that our approach performs smoothly on different font sizes and number of characters.
Keywords
object detection; optical character recognition; text analysis; Bangla optical character recognition; font sizes; outer shape detection technique; printed Bangla text; Character recognition; Computer science; Hidden Markov models; Information technology; Neural networks; Optical character recognition software; Optical computing; Optical filters; Shape; Text recognition; Filtering; Optical Character Recognition; Outer Shape Detection Technique; Segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers and Information Technology, 2009. ICCIT '09. 12th International Conference on
Conference_Location
Dhaka
Print_ISBN
978-1-4244-6281-0
Type
conf
DOI
10.1109/ICCIT.2009.5407268
Filename
5407268
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