Propose a New Method for Extracting Hand using in the Arabic Sign Language Recognition (Arslr) System

Propose a New Method for Extracting Hand using in the Arabic Sign Language Recognition (Arslr) System
Authors : Abdelmoty M. Ahmed, Reda Abo Alez , Muhammad Taha , Gamal Tharwat
Publication Date: 02-11-2015


Author(s):  Abdelmoty M. Ahmed, Reda Abo Alez , Muhammad Taha , Gamal Tharwat

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Volume. 4 - Issue. 11 , November - 2015

e-ISSN:   2278-0181

 DOI:  http://dx.doi.org/10.17577/IJERTV4IS110005


The pattern recognition is considered of significant systems where applied computer vision techniques, and most important of these systems recognize the hand gestures which are used in the interpretation and translation of Arabic Sign Language(ArSL) for the deaf and dumb to written text software systems. Arabic Sign Language Recognition (ArSLR) is used as a popular tool of communication between the hearing disabled and the deaf people throughout the Arab world. This paper proposes an image based ArSLR system using gesture recognition techniques, which allows the user to interact with the outside world. In particular, the design and development of a system for automatic translation of Arabic sign language to text in Arabic is proposed in this paper. And that includes extraction of the stem Arabic words, distinguish and different meanings of similar words. The proposed system start with acquiring the image of alphabet letters gestures indicative Secondly to detect the hand of the image and isolate it from the background, the third stage is extraction and conclusion features and characteristics of hand sign pattern, then Classification process through one of the most effective classification algorithms to classify the form of hand gesture in the fourth step .Finally is the interpretation and translation of the letter in the alphabet indicative (sign language) contrast to his character in the alphabet of the Arabic language (Interpretation and Translation). In this paper we will provide the results of the first stage of a system image capture then offer processing preliminary results of each image taken with the aim detect the hand for each, according to in the second stage of the system, and will be using the results of this paper in the study of other stages of the system and displayed in a separate research papers after the completion of their work.


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