KnE Engineering

ISSN: 2518-6841

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Colour Classification Using Entropy Algorithm in Real Time Colour Recognition System for Blindness People

Published date: Sep 05 2016

Journal Title: KnE Engineering

Issue title: Conference on Science and Engineering for Instrumentation, Environment and Renewable Energy

Pages:

DOI: 10.18502/keg.v1i1.485

Authors:
Abstract:
This article describes the real time instrumentation system to help blindness people for recognize a colour. Colour image captured by the digital camera, and it classified into ten basic colours names (black, brown, cyan, red, orange, yellow, green, blue, magenta, gray and white) by using entropy algorithm. The conclusion of colour classification will be informed to the user in sound or vocal information. This study has used two colour models HSV (hue, saturation and value) and RGB (red, green and blue). The accuracy of Classification using HSV has 90%, and RGB model has 71.5%.
References:

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[4] www.who.int/features/factfiles/blindness/blindness_facts/en/index. html, WHO, 10 facts about blindness and visual impairment, (2013), Update October 2013.


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