Recognition of sign language using image processing
by Sandhya Arora; Ananya Roy
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 13, No. 1/2/3, 2018

Abstract: According to World Health Organization, over 5% of the world's population have hearing and speaking disabilities. The primary language of communication for people who are deaf and mute is the sign language. The proposed system aims to recognise the American Sign Language and converts it to text. Input given to the system is an image of the hand depicting the necessary alphabet. The histogram of the input image is then computed and checked for similarity with the histograms of pre-saved images by using the Bhattacharyya Distance Metric. Implementation of the system will be a small step in overcoming the social barrier of communication between the deaf-mute people and the people who do not understand sign language. OpenCV is used as a tool for implementing proposed system.

Online publication date: Thu, 07-Dec-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Intelligence and Data Mining (IJBIDM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com