期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2017
卷号：8
期号：3
页码：249-259
出版社：Engg Journals Publications
摘要：Sign language is the way of communication among the Deaf-Dumb people by performing hand gestures. Thispaper is present review on Sign language Recognition approaches that aims to provide communication way forDeaf and Dumb Community over Society. Basically There are main two approaches for sign languagerecognition is Sensor based and Image based. This paper describes review of Image based sign languagerecognition system. Signs are in the form of hand gestures and these gestures are identified from images as wellas videos. Hand gestures are identified and classified according to features of Gesture image. Features are likeshape, rotation, angle, pixels, hand movement etc. Features are finding by various Features Extraction methodsand classified by Artificial Intelligence methods. The most significance of this paper is to review the key findingof the comparison of feature extraction methods of similar systems used in Image based hand gesturerecognition on the base of accuracy rate.
关键词：Sign Language Recognition; ; Feature Extraction; Support Vector Machine; Neural Network
