NDLI: Bangla vowel sign recognition by extracting the fuzzy features

Content Provider	IEEE Xplore Digital Library
Author	Kamal, M.S. Hoque, M.M. Ul Hasan, M. Arefin, M.S.
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Chittagong Univ. of Eng. & Technol., Chittagong (Kamal, M.S.; Hoque, M.M.; Ul Hasan, M.; Arefin, M.S.)
Abstract	This paper presents a fuzzy based Bangla vowel sign recognition system. Vowel and consonant are the main criteria to express any language. Exceptionally, Bangla has some vowel sign which are used to express Bangla word. Therefore, to recognize any Bangla word, at first it is necessary to recognize which vowel sign is used to express that word. Due to its low computational requirement and very high accuracy, fuzzy logic system is probably the most efficient method available for online vowel sign recognition. The most important task for this implementation is the building of the rule base using fuzzy logic that would describe the recognized vowel sign, which is more complicated as different people write the same vowel sign in completely different ways. In this paper, we propose a system that uses automatically generated fuzzy membership value that describes the handwritten Bangla vowel sign written by different individuals.
Starting Page	306
Ending Page	311
File Size	1066785
Page Count	6
File Format	PDF
ISBN	9781424421350
DOI	10.1109/ICCITECHN.2008.4803074
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-24
Publisher Place	Bangladesh
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Segmentation Positional Features Character recognition Data mining Information technology Fuzzy logic Fuzzy sets Handwriting recognition Geometric Features Speech recognition Vowel Sign Writing Feature extraction Fuzzy systems
Content Type	Text
Resource Type	Article

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