Sign Language Recognition for Bengali Characters

Tanzila Ferdous Ayshee, Sadia Afrin Raka, Quazi Ridwan Hasib, Rashedur M. Rahman and Md. Hossain
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Tanzila Ferdous Ayshee: Electrical and Computer Engineering Department, North South University, Dhaka, Bangladesh
Sadia Afrin Raka: Electrical and Computer Engineering Department, North South University, Dhaka, Bangladesh
Quazi Ridwan Hasib: Electrical and Computer Engineering Department, North South University, Dhaka, Bangladesh
Rashedur M. Rahman: Electrical and Computer Engineering Department, North South University, Dhaka, Bangladesh
Md. Hossain: Electrical and Computer Engineering Department, North South University, Dhaka, Bangladesh

International Journal of Fuzzy System Applications (IJFSA), 2015, vol. 4, issue 4, 1-14

Abstract: Sign language is the primary means of communication for people having speaking and hearing impairment. This language uses a system of manual, facial, and other body movements as the means of communication, as opposed to acoustically conveyed sound patterns. This paper uses image processing and fuzzy logic to develop an intelligent system to recognize Bengali Sign Language. The proposed system works in two phases. In the first phase, the fuzzification methods are defined. Then in the next phase, the raw images are processed to identify the fuzzy rules. A detailed implementation procedure of the proposed system is demonstrated by describing the recognition process of four Bengali characters.

Date: 2015
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