International Journal of Industrial Electronics and Electrical Engineering(IJIEEE).
Paper Title - Static Hand Gesture’s Voice Conversion System Using Vision Based Approach For Mute People
Mute people can’t speak and normal people don’t know the sign language which is used for inter-
communication between mute people. This system will be useful to solve this problem. Gestures are in line with people's
habits of communication, so many researchers have done a lot of work in gesture recognition based on vision based
approach. In this paper, hand gestures also known as sign language will be converted into voice for mute people. Image
processing is used for hand gesture recognition in this system. Using camera to get images of hand, and then pre-process
those images by color splitting, morphological processing and feature extraction. At last, the template matching is used to
realize the hand gesture recognition. The recognized image is processed by the hardware and converted to voice.
Keywords: Gesture Recognition, Hand Tracking, ARM processor, SDCard.
Author - Namita Agarwal, S.M.Hambarde
Citation - Namita Agarwal ,
Namita Agarwal, S.M.Hambarde " Static Hand Gesture’s Voice Conversion System Using Vision Based Approach For Mute People " ,
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE) , Volume-3, Issue-7 ( Jul, 2015 )