Computer Vision-based Bangladeshi Sign Language Recognition System

Author

Begum, Salma ; Hasanuzzaman, Md

Author_Institution

Dept. of Comput. Sci. & Eng., Univ. of Dhaka, Dhaka, Bangladesh

fYear

2009

fDate

21-23 Dec. 2009

Firstpage

414

Lastpage

419

Abstract

Sign language is a specific area of human gesture communication and a full-edged complex language that is used by various deaf communities. In Bangladesh, there are many deaf and dumb people. It becomes very difficult to communicate with them for the people who are unable to understand the sign language. In this case, an interpreter can help a lot. So it is desirable to make computer to understand the Bangladeshi sign language that can serve as an interpreter. In this paper, a computer vision-based Bangladeshi sign language recognition system (BdSL) has been proposed. In this system, separate PCA (principal component analysis) is used for Bengali Vowels and Bengali numbers recognition. The system is tested for 6 Bengali vowels and 10 Bengali numbers.

Keywords

computer vision; gesture recognition; handicapped aids; principal component analysis; Bangladeshi sign language recognition; Bengali number recognition; Bengali vowel recognition; computer vision; deaf community; full-edged complex language; human gesture communication; principal component analysis; Computer vision; Deafness; Handicapped aids; Hidden Markov models; Natural languages; Pattern recognition; Principal component analysis; Speech recognition; System testing; Vocabulary; American Sign Language; Bangladeshi Sign Language; Computer-Vision; Principal Component Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers and Information Technology, 2009. ICCIT '09. 12th International Conference on

Conference_Location

Dhaka

Print_ISBN

978-1-4244-6281-0

Type

conf

DOI

10.1109/ICCIT.2009.5407274

Filename

5407274