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Pauzi, G. A. (2016). Colour Classification Using Entropy Algorithm in Real Time Colour Recognition System for Blindness People. KnE Engineering, 1(1). https://doi.org/10.18502/keg.v1i1.485

https://doi.org/10.18502/keg.v1i1.485

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authors

  • Gurum Ahmad Pauzi
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Published Date

  • Sep 5, 2016

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

KnE Engineering / Conference on Science and Engineering for Instrumentation, Environment and Renewable Energy /

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%.

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