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Artificial Neural Network in Face Detection
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 14 - Number 3 |
| Year of Publication: 2011 |
| Authors: Tarun Kumar, Kushal Veer Singh, Shekhar Malik |
10.5120/1827-2426
|
Tarun Kumar, Kushal Veer Singh, Shekhar Malik . Artificial Neural Network in Face Detection. International Journal of Computer Applications. 14, 3 ( January 2011), 5-7. DOI=10.5120/1827-2426
Abstract
Face detection is one of the challenging problems in the image processing. The basic aim of face detection is determine if there is any face in an image. And then locate position of a face in image. Human face detected in an image can represent the presence of a human in a place. Evidently, face detection is the first step towards creating an automated system, which may involve other face processing. The novel face detection approach relies on neural networks, which can be used to detect faces by using transformation fast Fourier transform (FFT). The neural network is created and trained with training set of faces and non-faces. The network used is a two layer feed-forward network. There are two modifications for the classical use of neural networks in face detection. First, the neural network tests only the face candidate regions for faces, thus the search space is reduced. Second, the window size used by the neural network in scanning the input image is adaptive and depends on the size of the face candidate region. All results are implemented in MATLAB 7.0 environment.
References
- Aamer.S.S.Mohamed, Ying Weng, Stan S Ipson, Jianmin Jiang “Face Detection based on Skin Color in Image by Neural Networks” School of Informatics, University of Bradford.
- F. Smach, M. Atri, J. Mitéran and M. Abid “Design of a Neural Networks Classifier for Face Detection”,world academy of science, engineering and technology 11 2005.
- www.mathworks.com/access/helpdesk /help/pdf_doc/nnet/nnet.pdf. Sept 2010.
- Fan Yang and Michel Paindavoine, “Prefiltering for pattern Recognition Using Wavelet Transform and Neural Networks”, Advances in imaging and Electron physics, Vol. 127, 2003.
- Zahra Sadri Tabatabaie, Rahmita Wirza Rahmat, Nur Izura Binti Udzir and Esmaeil Kheirkhah “A Hybrid Face Detection System using combination of Appearance-based and Feature-based methods” IJCSNS International Journal of Computer Science and Network Security, VOL.9 No.5, May 2009.
- Uma D. Nadimpalli, Randy R. Price, Steven G. Hall, and Pallavi Bomma, “A Comparison of Image Processing Techniques for Bird Recognition”, Biotechnol Prog. Vol.22, No.1, 2006.
- Kumar, T., Verma. K., 2010, A Theory Based on Conversion of RGB Image to Gray Image. International Journal of Computer Applications Journal USA, Volume 7/Number 2 (ISBN: 978-93-80746-86-9)) doi-10.5120/1140-1493.
- Kumar, T., Verma, K., 2010, Analysis of Soft computing Techniques for face Detection, Thesis, Thapar University, Patiala, India.
- Deepa, S. N., Sivanandam, S. N., Sumathi, S., 2006, Introduction to Neural Networks using MATLAB 6.0, vol. 1, Tata McGraw-Hill.
- Pratt, W. K., 2007, “Digital Image Processing”, Fourth Edition, A John Wiley & Sons Inc. Publication.
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