Alphabet Recognition for Deaf-Blind People
Yuvraj Singh Rathore, Charvi Mittal, Avik Basu · IOSR Journal of Computer Engineering · 2014
This paper aims to present a system to aid deaf-blind people in communicating with the outside world efficiently and help ease their burden.They often find it difficult to interact with others and experience inability to perform daily life activities.The algorithm proposed in this paper recognizes various hand gestures performed by user in the form of alphabets in front of the integrated camera.These are tracked using image and video processing techniques and the character is further detected using pattern recognition.A feedback mechanism has been also employed for achieving high accuracy.The above algorithm was implemented using OpenCV 2.4.9 and Beaglebone Black.The proposed method is user friendly and it will translate hand gestures into meaningful characters with high efficiency.