Open AccessColour Classification Using Entropy Algorithm in Real Time Colour Recognition System for Blindness People
Author(s) -
Gurum Ahmad Pauzi
Publication year - 2016
Publication title -
kne engineering
Language(s) - English
Resource type - Journals
ISSN - 2518-6841
DOI - 10.18502/keg.v0i0.485
Subject(s) - magenta , cyan , rgb color model , hue , artificial intelligence , computer science , hsl and hsv , blindness , entropy (arrow of time) , colour vision , computer vision , pattern recognition (psychology) , mathematics , speech recognition , art , inkwell , optometry , visual arts , medicine , virus , physics , virology , quantum mechanics , biology
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%.