Sign Language Recognition Using Image Processing

Kamal Preet Kour, Lini Mathew

Abstract


One of the major drawback of our society is the barrier that is created between disabled or handicapped persons and the normal person. Communication is the only medium by which we can share our thoughts or convey the message but for a person with disability (deaf and dumb) faces difficulty in communication with normal person. For many deaf and dumb people , sign language is the basic means of communication. Sign language recognition (SLR) aims to interpret sign languages automatically by a computer in order to help the deaf communicate with hearing society conveniently.  Our aim is to design a system  to help the person who trained the hearing impaired to communicate with the rest of the world using sign language or hand gesture recognition techniques. In this system, feature detection and feature extraction of hand gesture is done with the help of SURF algorithm using image processing. All this work is done using MATLAB software. With the help of this algorithm, a person can easily trained a deaf and dumb.

Full Text:

PDF

References


Sunitha K. A, Anitha Saraswathi.P, Aarthi.M, Jayapriya. K, Lingam Sunny, “Deaf Mute Communication Interpreter- A Review”, International Journal of Applied Engineering Research ,Volume 11, pp 290-296 , 2016.

Mandeep Kaur Ahuja, Amardeep Singh, “Hand Gesture Recognition Using PCA”, International Journal of Computer Science Engineering and Technology (IJCSET ), Volume 5, Issue 7, pp. 267-27, July 2015.

Sagar P.More, Prof. Abdul Sattar, “Hand gesture recognition system for dumb people”,International Journal of Science and Research (IJSR), Volume 3, Issue 2, April 2015.

Pratibha Pandey, Vinay Jain, “Hand Gesture Recognition for Sign Language Recognition: A Review”, International Journal of Science, Engineering and Technology Research (IJSETR), Volume 4, Issue 3, March 2015 .

Nakul Nagpal,Dr. Arun Mitra.,Dr. Pankaj Agrawal, “Design Issue and Proposed Implementation of Communication Aid for Deaf & Dumb People”, International Journal on Recent and Innovation Trends in Computing and Communication ,Volume: 3 Issue: 5,pp- 147 – 149, May 2015.

Neelam K. Gilorkar, Manisha M. Ingle, “Real Time Detection And Recognition Of Indian And American Sign Language Using Sift”, International Journal of Electronics and Communication Engineering & Technology (IJECET), Volume 5, Issue 5, pp. 11-18 , May 2014.

Ashish Sethi, Hemanth ,Kuldeep Kumar,Bhaskara Rao ,Krishnan R, “Sign Pro¬-An Application Suite for Deaf and Dumb”, IJCSET , Volume 2, Issue 5, pp-1203-1206, May 2012.

Priyanka Sharma,“Offline Signature Verification Using Surf Feature Extraction and Neural Networks Approach”, International Journal of Computer Science and Information Technologies, Volume 5 (3) , pp 3539-3541, 2014.


Refbacks

  • There are currently no refbacks.




© International Journals of Advanced Research in Computer Science and Software Engineering (IJARCSSE)| All Rights Reserved | Powered by Advance Academic Publisher.