International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
Design of a Communication System using Sign Language aid for Differently Abled Peoples. Shrikant Temburwar1, Payal Jaiswal2, Shital Mande3, Souparnika Patil4 1234 Department
of Information Technology, Dhole Patil College of Engineering, Pune, Maharashtra, India. ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - One of the most precious gifts of nature to the
of the sign language is an important research problem for communication with the hearing impaired. The system does not require that the hand is perfectly aligned to the camera. The project uses the image processing system to identify, especially the English alphabetical character language used by the deaf to communicate. The system proposed to develop and build an intelligent system that uses image processing, machine learning and artificial intelligence concepts to make visual inputs of hand gestures of sign language and to create an easily recognizable form of outputs.
human race is the ability to express itself by responding to the events that occur in its environment. Every normal person sees, hears, and then reacts to the situations by expressing himself. But there are some less lucky ones who are deprived of this precious gift. Such people, especially deaf and mute, rely on some sort of gesture language to communicate their feelings to others. The deaf, dumb and the blind follow similar problems when it comes to the use of computers. In the era of advanced technologies, where computers, laptops and other processor-based devices are an integral part of everyday life, efforts must be made to make the disabilities in life more independent. Our goal is to design a human computer interface system that can accurately identify the language of the deaf and dumb. With the use of image processing and artificial intelligence, many techniques and algorithms have been developed in this area. Each character speech recognition system is trained to recognize the characters and convert them into the required pattern. The proposed system aims to give speech speechless, a real-time character language is captured as a series of images, and it is processed and then converted into speech and text
2. LITERATURE SURVEY A. Two Way Communicator between Deaf and Dumb People and Normal People. [1] This system consists mainly of two modules, the first module is Indian Sign Language (ISL) gestures from real-time video and mapping it with human-Understandable speech. Accordingly, the second module is the natural language as Input and card with equivalent Indian Sign Language animated gestures. B. Sign Language Recognition System to aid Deaf-dumb People Using PCA. [2]
.Key Words: Sign Language, Communication aid, Sign Recognition, Image Processing, Text Language.
This paper presents design and implementation of real-time sign language recognition system, to 26 gestures from the Indian sign language with MATLAB.
1. INTRODUCTION
C. Sign Language to Text and Vice Versa Recognition using Computer Vision in Marathi. [3]
Dumb people are usually face some problems on normal communication with other people in society. It has been observed that they sometimes find it difficult to interact with normal people with their gestures. Because people with hearing problems or deaf people cannot speak like normal people, they have to depend on a kind of visual communication in most cases. To overcome these problems, we have proposed a system that uses cameras to capture and convert videos of hand gestures from dumb people who turn into speech for understanding normal people.
In this system edge detection algorithm is used to recognize the input character image gray scale and recognition of the edges of the hand gesture. The system is able to handle the different input records images of alphabets, words, sentences, and translates them in text and vice versa. The system is designed to translate the Marathi sign language to text. D. Sign Language Learning based on Android for Deaf and Speech Impaired People. [4]
The primary application for addressing the sign language is the improvement of the sign language. Computer recognition
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