Malaysian Journal of Computer Science (ISSN 0127-9084)
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Title:Multi-Counterpropagation Network Model For Colour Recognition
Auhtor(s): Razali Yaakob ,Md. Nasir Sulaiman ,Ramlan Mahmod ,Mahmud Tengku Muda Mohamed ,Abd Rahman Ramli,
Journal:Malaysian Journal of Computer Science (ISSN 0127-9084)
Volume:12, No 1
Keywords:CPN model, competitive layer, unsupervised learning, supervised learning, Minolta Chroma Meters
Abstract:Minolta Chroma Meters was used to convert colours into numbers. It offers five different colour systems for measuring absolute chromaticity, that is, CIE Yxy, L*a*b*, L*C*Ho, Hunter Lab and XYZ. In this study, only L*a*b* is used, and combinations of two counterpropagation network (CPN) are required to recognise 808 colours produced by The Royal Horticultural Society, based on RHS Colour Chart [1]. Our proposed neural network model is tested; the result shows that 99% of trained data are recognised, against 98% for untrained data.

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