Boltay Hath for Indian Sign Language Recognition

Abstract

In this research work it is discussed that how a gesture recognition system for alphabetical hand gestures is built. The main motive was to develop a system that can simplify the way that the normal human being interact with the deaf and dump people without the need of interpretator . This system also provides the easy way of humans interaction with computers. This system is designed using MATLAB instead of neural network. In this system Eigen vector and Eigen value techniques only in MATLAB are used. The basis of our method is a fast detection process to obtain the meaningful hand region from the whole image, which is able to deal with a large number of hand gestures against different indoor backgrounds and lighting condition, and a recognition process that identifies the hand gestures from the images of the normalized hand. Experiments show that the system can achieve a 99% recognition rate and is suitable for real-time applications.

Literacy Sign Language Application Using Visual Phonics

“…A system was also developed using direction histograms, Euclid-ean distance, and KNN metric to recognize dynamic two-handed signs of ISL (Nandy et al, 2010). Kaur et al (2014) discussed how a gesture recognition system for alphabetical hand gestures of ISL was built. Eigen vector and Eigen value techniques in MATLAB were used and a 99% recognition rate was achieved.…”