학술논문

Computer Vision-based Bangladeshi Sign Language Recognition System
Document Type
Conference
Source
2009 12th International Conference on Computers and Information Technology Computers and Information Technology, 2009. ICCIT '09. 12th International Conference on. :414-419 Dec, 2009
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
General Topics for Engineers
Bioengineering
Computer vision
Handicapped aids
Speech recognition
Principal component analysis
Deafness
Natural languages
Pattern recognition
System testing
Hidden Markov models
Vocabulary
American Sign Language
Bangladeshi Sign Language
Computer-Vision
Principal Component Analysis
Language
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.