Reference Hub1
Sign Language Recognition for Bengali Characters

Sign Language Recognition for Bengali Characters

Tanzila Ferdous Ayshee, Sadia Afrin Raka, Quazi Ridwan Hasib, Rashedur M. Rahman, Md. Hossain
Copyright: © 2015 |Volume: 4 |Issue: 4 |Pages: 14
ISSN: 2156-177X|EISSN: 2156-1761|EISBN13: 9781466679986|DOI: 10.4018/IJFSA.2015100101
Cite Article Cite Article

MLA

Ayshee, Tanzila Ferdous, et al. "Sign Language Recognition for Bengali Characters." IJFSA vol.4, no.4 2015: pp.1-14. http://doi.org/10.4018/IJFSA.2015100101

APA

Ayshee, T. F., Raka, S. A., Hasib, Q. R., Rahman, R. M., & Hossain, M. (2015). Sign Language Recognition for Bengali Characters. International Journal of Fuzzy System Applications (IJFSA), 4(4), 1-14. http://doi.org/10.4018/IJFSA.2015100101

Chicago

Ayshee, Tanzila Ferdous, et al. "Sign Language Recognition for Bengali Characters," International Journal of Fuzzy System Applications (IJFSA) 4, no.4: 1-14. http://doi.org/10.4018/IJFSA.2015100101

Export Reference

Mendeley
Favorite Full-Issue Download

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.