Please use this identifier to cite or link to this item: http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/470
Title: Performance analysis of ANN based YCbCr skin detection algorithm
Authors: Aibinu, Abiodun M.
Shafie, Amir A.
Salami, Momoh-Jimoh E.
Keywords: Acquired Image
Artificial Neural
Network
Modeling
Technique
Skin
Issue Date: 1-Jan-2012
Publisher: Elsevier
Citation: Aibinu, A. M., Shafie, A. A., & Salami, M. J. E. (2012). Performance analysis of ANN based YCbCr skin detection algorithm. Procedia Engineering, 41, 1183-1189.
Abstract: Skin detection from acquired images has various areas of applications especially in automatic facial and human recognition 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.
URI: 10.1016/j.proeng.2012.07.299
http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/470
ISSN: 1877-7058
Appears in Collections:Research Articles

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