Translation of Sign Language for Deaf and Dumb People
Suthagar S.1, K. S. Tamilselvan2, P. Balakumar3, B. Rajalakshmi4, C. Roshini5
1Suthagar S, Department of Electronics and Communication Engineering, Kongu Engineering College, Perundurai, Erode, Tamil Nadu, India.
2K. S. Tamilselvan, Department of Electronics and Communication Engineering, KPR Institute of Engineering and Technology, Arasur, Coimbatore, Tamil Nadu, India.
3P. Balakumar, under graduate scholar of Kongu Engineering College, Perundurai, Erode, Tamilnadu, India.
4B. Rajalakshmi, Under Graduate scholar of Kongu Engineering College, Perundurai, Erode, Tamilnadu, India.
5C. Roshini, is the under graduate scholar of Kongu Engineering College, Perundurai, Erode, Tamilnadu, India.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 5592-5595 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6555018520/2020©BEIESP | DOI: 10.35940/ijrte.E6555.018520

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Abstract: Deaf-mute people can communicate with normal people with help of sign languages. Our project objective is to analyse and translate the sign language that is hand gestures into text and voice. For this process, Real Time Image made by deaf-mute people is capture dand it is given as input to the pre-processor. Then, feature extraction process by using otsu’s algorithm and classification by using SVM(support Vector Machine) can be done. After the text for corresponding sign has been produced. The obtained text is converted into voice with use of MATLAB function. Thus hand gestures made by deaf-mute people has been analysed and translated into text and voice for better communication.
Keywords: Sign Language, SVM, Text, Voice
Scope of the Article: Natural Language Processing