Abstract
In this paper we present a method for the purpose to detect a certain person in an image. We use the tools of neural networks and face recognition algorithm to achieve our goal. The type of neural network is unsupervised adaptive resonance theory 2 (ART2). It is trained by the set of person images and divided into two clusters—the first cluster represents the human who has to be found and the second one represents the other people. The algorithm which is used for face detection is Viola-Jones and the combination with neural networks helps to identify the person. The generalized net model is used to describe the recognition process.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Atanassov, K.: Generalized Nets. World Scientific, Singapore, New Jersey, London (1991)
Beale M., Demuth H., Hagan M.: Neural Network Design, PWS Publishing Company (1996)
Ben, K., van der Smagt, P.: An Introduction to Neural Networks, Chapter 6 8th edn. University of Amsterdam (1996)
Carpenter, G.A., Grossberg, S.: The ART of adaptive pattern recognition by a self-organizing neural network. Computer 21(3), 77–88 (1988)
Chelali, F., Djeradi, A.: Face recognition system using neural network with Gabor and discrete wavelet transform parameterization. In: 6th International Conference on Soft Computing and Pattern Recognition, SoCPaR (2014)
Fausett, L.: Fundamentals of Neural Networks; Architecture, Algorithms and Applications (1993)
Kramer, O.: Dimensionality Reduction with Unsupervised Nearest Neighbors, Springer, Intelligent systems reference library, vol. 51, (2013)
Murphy, T., Schultz, R.: A Viola-Jones based hybrid face detection framework. In: Proceedings of SPIE—The International Society for Optical Engineering, vol. 9025, (2014)
Rashidan, M., Mustafah, Y.M.: Analysis of artificial neural network and Viola-Jones algorithm based moving object detection. In: Proceedings—5th International Conference on Computer and Communication Engineering: Emerging Technologies via Comp-Unication Convergence, ICCCE (2014)
Tian, D., Liu, Y.H., Shi, J.R.: Dynamic Clustering Algorithm Based on Adaptive Resonance Theory, Springer, 2006
Viola, P., Jones, J.: Robust real-time face detection. Int. J. Comput. Vision 57(2), 137–154 (2004)
Wójtowicz, W., Ogiela, M.R.: Biometric watermarks based on face recognition methods for authentication of digital images. Secur. Commun. Netw. 8(9), 1672–1687 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Petkov, T., Sotirov, S., Surchev, S. (2016). Generalized Net Model of Person Recognition Using ART2 Neural Network and Viola-Jones Algorithm. In: Atanassov, K., et al. Novel Developments in Uncertainty Representation and Processing. Advances in Intelligent Systems and Computing, vol 401. Springer, Cham. https://doi.org/10.1007/978-3-319-26211-6_22
Download citation
DOI: https://doi.org/10.1007/978-3-319-26211-6_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-26210-9
Online ISBN: 978-3-319-26211-6
eBook Packages: Computer ScienceComputer Science (R0)