Face Detection by Skin Color based on Elman Neural Network

Thanoon, Ghada; Maan, Nadia; Istiqlal, Amera

doi:10.37652/juaps.2012.63370

	Face Detection by Skin Color based on Elman Neural Network
Journal of University of Anbar for Pure Science
Article 2, Volume 6, Issue 2, August 2012, Pages 1-5 PDF (647.28 K)
Document Type: Research Paper
DOI: 10.37652/juaps.2012.63370
Authors
Ghada Thanoon; Nadia maan; Amera Istiqlal
Mosul University - College of Computer Science and Mathematics
Abstract
In this paper, a propose system was present for face detection by the color of skin which is the main feature in the skin, the system depends on the color properties that extracted from the skin using Fast Fourier Transforme (FFT), then, the Neural Network (Elman) used to test the filtered skin peaces for make dicession if the original colored image has a face or not.The proposed system was tested upon group of colored images and the results give a good average in detection exceeds 86%.
Keywords
Elman

References
M.S., A.S. (2008). Face Detection based on Skin Color in Image by Neural Networks”.5th international multi conference on systems signals and devices issue: I, publisher: IEEE pages:1-5. H.E. J. S. (2011). Face Recognition with PCA and KPCA using Elman Neural Network and SVM. World Academy of science, Engineering and Technology. R.F. R.R. (2011). Face Detection using Neural Networks. College of computers & Mathematic Scientific, Computer Science Department, University of Mosul. E.U. (1998). Computer vision and image processing. A practical approach using CVIPtools. Z.S. B.G. N. S. (2006). Elman Neural Network and Time Integration for Object Recognition. laboratory of Autonomous Robotics and Artificial life, Rome, Italy. L.W. S. H. (1997). A new Recurrent Neural Network Architecture for visual Pattern Recognition. IEEE, Transactions on neural network, vol 8: no 2. H.D. M.B. (2008). Neural Network toolbox user’s. the mathworks.
Statistics Article View: 154 PDF Download: 130