Fuzzy rule-based hand gesture recognition for bengali characters

Author

Ayshee, Tanzila Ferdous ; Raka, Sadia Afrin ; Hasib, Quazi Ridwan ; Hossain, M. ; Rahman, Rashedur M.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., North South Univ., Dhaka, Bangladesh

fYear

2014

fDate

21-22 Feb. 2014

Firstpage

484

Lastpage

489

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.

Keywords

fuzzy set theory; handicapped aids; knowledge based systems; natural language processing; sign language recognition; Bengali characters; Bengali sign language; fuzzy rule based system; fuzzy rule-based hand gesture recognition; hearing impairment; image processing; speaking impairment; spoken language; Assistive technology; Gesture recognition; Joints; Pragmatics; Thumb; Vectors; fuzzy logic; image processing; intelligent system; sign language;

fLanguage

English

Publisher

ieee

Conference_Titel

Advance Computing Conference (IACC), 2014 IEEE International

Conference_Location

Gurgaon

Print_ISBN

978-1-4799-2571-1

Type

conf

DOI

10.1109/IAdCC.2014.6779372

Filename

6779372