CSEIT183179 | Received : 10 Jan 2018 | Accepted : 25 Jan 2018 | January-February-2018 [(3) 1 : 487-491 ] International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2018 IJSRCSEIT | Volume 3 | Issue 1 | ISSN : 2456-3307 487 Image Based Sign Language Recognition using Neuro - Fuzzy Approach Hemina Bhavsar *1 , Dr. Jeegar Trivedi 2 *1 Department of Computer Science, S. S.Agrawal Institute of Computer Science, Navsari , Gujarat, India 2 Department of Computer Science, Sardar Patel University Anand, Gujarat, India ABSTRACT Sign language is the language of deaf & dumb people. They expressed their thoughts in the form of sign language. This paper proposed sign language recognition (SLR) system which is the computerized system useful for translation of sign language into English language in the form of text. It will be use video data of deaf & dumb people and translate into English text. Proposed system recognizes both hand movements including face. Various image processing techniques are defined in this paper which will use for process the images. Convex hull feature extraction method will be applied for extract features which will classify by Neuro-Fuzzy classification approach. Recognized words will be inputted into NLP (Natural Language Processing) engine to format into the sentence. Keywords: NLP, SLR I. INTRODUCTION Language that is used by deaf and dumb people is called Sign Language. Deaf and dumb people, who cannot speak or listen but only can see, are using this language to express their thought. They are talk with each other by sign Language. Normal People cannot identify that exactly what Deaf people wants to say. So here we need either a translator who can translate signs into normal language or normal people have to learn this sign language. At each time we cannot get translator/Interpreter easily. Because availability of translator is limited and expensive also. So the solution of this problem is that we have to use some automatic system that can automatically translate signs into spoken language. Sign Language Recognition system is the automatic computerized system that automatically recognize signs and translate into normal language. This system is technically sound but also very important in Human Society. Deaf and dumb people can easily communication with normal people, express their ideas, thoughts etc. SLR system can be used in verity of ways in daily life, like this system can be used in Bank, Post Office, and Shopping Mall etc. In this type of places deaf people can easily communicate with other people and fulfill their requirements. In Education also this system very useful where deaf people can also become a teacher. This can improve confidence of Deaf and Dumb people to live in society. II. RELATED STUDY M. V. D. Prasad, P. V. V. Kishore, E. Kiran Kumar, D. Anil Kumar [1], presented methods for Indian Sign Language Recognition. Wavelet based fusion of two weak edge detection models. One is morphological subtraction model and the other is gradient based canny edge operator. Elliptical Fourier descriptors provide shape models used with optimized number of shape descriptors. Principle components determined find the feature vector to a minimum to accommodate all the frames in the video sequence. Classification of the signs is done by Back Propagation Neural Network Algorithm. The recognition rate stands at 92.34%.