Aibinu, Abiodun Musa and Shafie, Amir Akramin and Salami, Momoh Jimoh Emiyoka (2012) Performance analysis of ANN based YCbCr skin detection algorithm. Procedia Engineering, 41. pp. 1183-1189. ISSN 1877-7058
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Abstract
system. The performance analysis of artificial neural network based –YcbCr skin recognition and three other techniques is evaluated in this work. Results obtained show that the use of YCbCr color model performs better than RGB colour model and the use of artificial neural network further improves the accuracy of the system. © 2012 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Centre of Humanoid Robots and Bio-Sensor (HuRoBs), Faculty of Mechanical Engineering, Universiti Teknologi MARA.
Item Type: | Article (Journal) |
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Additional Information: | 6472/27219 |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering > Department of Mechatronics Engineering |
Depositing User: | Dr Amir Shafie |
Date Deposited: | 04 Dec 2012 08:11 |
Last Modified: | 04 Dec 2012 08:22 |
URI: | http://irep.iium.edu.my/id/eprint/27219 |
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