Indian Sign Language Alphabets Recognition from Static Images Using Correlation-Coefficient Algorithm with Neuro-Fuzzy Approach

8 Pages Posted: 18 Jul 2019 Last revised: 30 Sep 2019

See all articles by Hemina Bhavsar

Hemina Bhavsar

Gujarat Technological University - S.S.Agrawal Institute of Computer Science

Dr. Jeegar Trivedi

Department of Computer Science & Technology, Sardar Patel University Anand, Gujrath-India

Date Written: May 18, 2019

Abstract

Sign Language is a language used by mute people to communicate with other person by expressing their thoughts in the form of signs. Signs are expressed by hand and face movement. This paper describes proposed methodology for design and implementation of Alphabets recognition system of Indian sign language where static images of hand gesture are used as an input. Methodology includes various image processing techniques to remove unnecessary noise and to make images smooth. This Paper describe Correlation-coefficient algorithm which has been used for feature extraction and Neuro-fuzzy algorithm which has been applied as recognition algorithm. Proposed technique has been implemented on database of 100 images for testing. Implementation has been done on Matlab. Average accuracy of proposed methodology is 92.30%.

Keywords: Indian Sign Language (ISL), American Sign Language (ASL), Canadian Sign Language (CSL), NF (Neuro-Fuzzy), ANN (Artificial Neural Network)

JEL Classification: Y60

Suggested Citation

Bhavsar, Hemina and Trivedi, Dr. Jeegar, Indian Sign Language Alphabets Recognition from Static Images Using Correlation-Coefficient Algorithm with Neuro-Fuzzy Approach (May 18, 2019). Proceedings of International Conference on Communication and Information Processing (ICCIP) 2019, Available at SSRN: https://ssrn.com/abstract=3421685 or http://dx.doi.org/10.2139/ssrn.3421685

Hemina Bhavsar (Contact Author)

Gujarat Technological University - S.S.Agrawal Institute of Computer Science ( email )

Ahmedabad
India

Dr. Jeegar Trivedi

Department of Computer Science & Technology, Sardar Patel University Anand, Gujrath-India ( email )

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
42
Abstract Views
245
PlumX Metrics