Title :
Bangla vowel sign recognition by extracting the fuzzy features
Author :
Kamal, Mohammad Sarwar ; Hoque, Mohammed Moshiul ; Hasan, Md Monjur Ul ; Arefin, Mohammad Shamsul
Author_Institution :
Dept. of Comput. Sci. & Eng., Chittagong Univ. of Eng. & Technol., Chittagong
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.
Keywords :
feature extraction; fuzzy logic; fuzzy reasoning; fuzzy set theory; handwritten character recognition; image recognition; knowledge based systems; natural languages; feature extraction; fuzzy logic system; fuzzy membership value; handwritten Bangla vowel sign recognition system; rule base; Character recognition; Data mining; Feature extraction; Fuzzy logic; Fuzzy sets; Fuzzy systems; Handwriting recognition; Information technology; Speech recognition; Writing; Geometric Features; Positional Features; Segmentation; Vowel Sign;
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
DOI :
10.1109/ICCITECHN.2008.4803074