Segment and Semi Circle Based Geometric Characters of Bangla and An Efficient Relevant Method of Character Recognition

This paper presents a new segment and semi circle based model (S-SCBM) to write Bangla vowel characters. All vowel characters are formulated by using arc(s), line(s) and segment(s). Here an efficient method for segment and semi circle based character recognition has been implemented. For character r...

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Bibliographic Details
Main Authors: Khondaker Abdullah-Al-Mamun, Nafisa Khanam Siddika, Mahmudul Faisal Al Ameen, Farhana Sarker, Mostofa Akbar, Md
Format: Conference Proceeding
Language:English
Subjects:
Character recognition
Computer science
Optical character recognition software
Pattern recognition
Speech recognition
Text recognition
Writing
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Summary:This paper presents a new segment and semi circle based model (S-SCBM) to write Bangla vowel characters. All vowel characters are formulated by using arc(s), line(s) and segment(s). Here an efficient method for segment and semi circle based character recognition has been implemented. For character recognition, required features are number of line(s), arc(s) and segment(s). The feature vector consists of presence or absence of line(s), arc(s) and segment(s). In the feature vector, 0 indicates absence and 1 indicates presence of line(s), arc(s), and segment(s). From the method we get different index values for distinct characters. By using the index value any Bangla vowel characters can be recognized. Since only degrees of arcs, line and segment are considered, the method of character recognition is size independent
DOI:10.1109/ICECE.2006.355323