Article,
Review on Feature Extraction Methods of Image Based Sign Language Recognition System
Indian Journal of Computer Science and Engineering (IJCSE), 8 (3): 249-259 (Aug 3, 2017)
Abstract
Sign language is the way of communication among the Deaf-Dumb people by performing hand gestures. This paper is present review on Sign language Recognition approaches that aims to provide communication way for Deaf and Dumb Community over Society. Basically There are main two approaches for sign language recognition is Sensor based and Image based. This paper describes review of Image based sign language recognition system. Signs are in the form of hand gestures and these gestures are identified from images as well as videos. Hand gestures are identified and classified according to features of Gesture image. Features are like shape, rotation, angle, pixels, hand movement etc. Features are finding by various Features Extraction methods and classified by Artificial Intelligence methods. The most significance of this paper is to review the key finding of the comparison of feature extraction methods of similar systems used in Image based hand gesture recognition on the base of accuracy rate.
