出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Sign language continues to be the preferred tool of communication between the deaf and thehearing-impaired. It is a well-structured code by hand gesture, where every gesture has aspecific meaning, In this paper has goal to develop a system for automatic translation of ArabicSign Language. To Arabic Text (ATASAT) System this system is acts as a translator among deafand dumb with normal people to enhance their communication, the proposed System consists offive main stages Video and Images capture, Video and images processing, Hand SignsConstruction, Classification finally Text transformation and interpretation, this system dependson building a two datasets image features for Arabic sign language gestures alphabets from tworesources: Arabic Sign Language dictionary and gestures from different signer's human, alsousing gesture recognition techniques, which allows the user to interact with the outside world.This system offers a novel technique of hand detection is proposed which detect and extracthand gestures of Arabic Sign from Image or video, in this paper we use a set of appropriatefeatures in step hand sign construction and classification of based on different classificationalgorithms such as KNN, MLP, C4.5, VFI and SMO and compare these results to get betterclassifier.
关键词：Sign language; Hand Gesture; Hand Signs Construction; gesture recognition; hand detection
