Review on Face Detection and Recognition Technology Based on Neural Network
DOI:
https://doi.org/10.53555/nncse.v4i2.400Keywords:
Face Detection, Recognition, Neural NetworkAbstract
In this paper, feature extraction and facial recognition are studied in order to resolve problems like highdimension problem, small size samples and no-linear separable problem that exist in facial recognition technology. In the part of feature extraction we use a HGPP algorithm, to extract the input features in building a face recognition system. The neural network, which represents brilliant performance on small training sets, non-linear separable and high-dimension pattern recognition problems in the recognition stage, is used for pattern classification. The proposed approach is validated with the ORL database. Experimental results demonstrate the effectiveness of this method in the performance of face recognition.
References
N. Revathy, 2T.Guhan, 2012, “FACE RECOGNITION SYSTEM USING BACK PROPAGATION ARTIFICIAL NEURAL NETWORKS”, Proc. International Journal of Advanced Engineering Technology, pp.321-324, India
K. Seo, W. Kim, C. Oh and J. Lee, 2002, “Face Detection And Facial Feature Extraction Using Color Snake”, Proc. ISIE 2002 - 2002 IEEE International Symposium on Industrial Electronics, pp.457-462, L 'Aquila, Italy
C. Lin, 2005, “Face Detection By Color And Multilayer Feedforward Neural Network”, Proc. 2005 IEEE International Conference on Information Acquisition, pp.518-523, Hong Kong and Macau, China
S. Kherchaoui and A. Houacine, 2010, “Face Detection Based On A Model Of The Skin Color With Constraints And Template Matching”, Proc. 2010 International Conference on Machine and Web Intelligence, pp. 469 - 472, Algiers, Algeria
Chandrappa D N, M Ravishankar, D R RameshBabu, 2011, “Face Detection in Color Images using Skin Color Model Algorithm based on Skin Color Information”, 2011 3rd International Conference on Electronics Computer Technology (ICECT 2011),pp. 254 – 258, India
C. Aiping, P. Lian, T. Yaobin and N. Ning, 2010, “Face Detection Technology Based On Skin Color Segmentation And Template Matching”, Proc. 2010 Second International Workshop on Education Technology and Computer Science, pp.708-711, Wuhan, China
Ali Atharifard, and SedighehGhofrani, 2011, “Robust Component-based Face Detection Using Color Feature”, Proc. Proceedings of the World Congress on Engineering 2011 Vol II, WCE 2011, July 6 - 8, 2011, London, U.K
Yi Zhu and Florin Cutu, 2009, “Face Detection using Half-Face Templates”, Proc. The Ninth International Conference on Electronic Measurement & Instruments ICEMI, Indiana University, USA
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
