Fuzzy Rule-Based Hand Gesture Recognition for Bengali Characters
Tanzila Ferdous Ayshee, Sadia Afrin, Quazi Ridwan Hasib, Md. Hossain, Rashedur M Rahman
International Journal of Computational Linguistics Research, Vol. 5, No. 2, 2014.
DOI: 
Link: http://www.dline.info/jcl/fulltext/v5n2/1.pdf
Abstract:
Sign Language, a language that uses a system of manual, facial, and other body movements as the means of communication, is the primary means of communication for people having speaking and hearing impairment. This paper uses image processing and fuzzy rule based system to develop an intelligent system which can act as an interpreter between the Bengali sign language and the spoken language. Initially the data is processed from raw images and then the rules are identified by measuring angles. Primarily, the system is tested only for two letters in Bengali.