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Publication Type : Conference Proceedings
Publisher : 2012 International Conference on Machine Vision and Image Processing
Source : 2012 International Conference on Machine Vision and Image Processing, MVIP 2012, Coimbatore, Tamil Nadu, p.181-184 (2012)
ISBN : 9781467323208
Keywords : Captured frame, Character recognition, Computer vision, Fully closed, Gesture recognition, Hand gesture, Hand-gesture recognition, Indian sign languages, Indian sign languages (ISL), Number of fingers, Sign language, Text messages, Vision-based approaches
Campus : Coimbatore
School : School of Engineering
Department : Computer Science
Verified : Yes
Year : 2012
Abstract : Deaf and dumb people communicate among themselves using sign languages, but they find it difficult to expose themselves to the outside world. This paper proposes a method to convert the Indian Sign Language (ISL) hand gestures into appropriate text message. In this paper the hand gestures corresponding to ISL English alphabets are captured through a webcam. In the captured frames the hand is segmented and the state of fingers is used to recognize the alphabet. The features such as angle made between fingers, number of fingers that are fully opened, fully closed or semi closed and identification of each finger are used for recognition. Experimentation done for single hand alphabets and the results are summarised. © 2012 IEEE.
Cite this Research Publication : R. K. Shangeetha., Valliammai., V., and Dr. Padmavathi S., “Computer vision based approach for Indian sign language character recognition”, 2012 International Conference on Machine Vision and Image Processing, MVIP 2012. Coimbatore, Tamil Nadu, pp. 181-184, 2012.