Abstract
Face recognition represents one of the most interesting modalities of biometric. Due to his low intrusiveness and to the constant decrease in image acquisition cost, it’s particularly suitable for a wide number of real time applications. In this paper we propose a very fast image pre-processing by the introduction of a linearly shaded elliptical mask centered over the faces. Used in association with DCT, for features extraction, and MPL and RBF Neural Networks, for classification, it allows an improvement of system performances without modifying the global computation weight and also a learning time reduction for MLP neural networks.
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
Preview
Unable to display preview. Download preview PDF.
References
Li, S.Z., Jain, A.K.: Face Recognition Handbook. Springer, Heidelberg (2005)
Oppenaim, A.V., Schafer, R.W.: Discrete Time Signal Processing, 2nd edn. Prentice-Hall, Englewood Cliffs (1999)
Turk, M., Pentland, A.: Eigenfaces for Recognition. Journal Cognitive Neuroscience 3(1), 71–86 (1991)
Joo Er, M., Chen, W., Wu, S.: High-speed face recognition based on Discrete Cosine Transform and RBF Neural Networks. IEEE Transctions on neural networks 16(3), 679–691 (2005)
Faundez-Zanuy, M., Espinosa-Duro, V., Ortega-Redondo, J.A.: A low-cost webcam & personal computer opens doors. IEEE Aerospace and Electronic Systems Magazine 20, 23–26 (2005)
Kanan, H.R., Faez, K., Ezoji, M.: An Efficient Face Recognition System Using a New Optimized Localization Method. In: 18th International Conference on Pattern Recognition, pp. 564–567 (2006)
Yang, M.-H., Kriegman, D.J., Ahuja, N.: Detection Faces in Images: A Survey. IEEE Transaction On. Pattern Analysis and Machine Inteligence 24(1), 34–58 (2002)
Martinez, A.M.: Recognizing Imprecisely Localized, Partially Occluded, and Expression Variant Faces from a Single Sample per Class. IEEE Transaction On Pattern Analysis and Machine Intelligence 24(6), 748–763 (2002)
Martin, A., Martin, G.A., Doddington, G., Kamm, T., Ordowski, M., Przybocki, M.: The DET curve in assessment of detection task performance. In: European Speech Processing Conference, Eurospeech, vol. 4, pp. 1895–1898 (1997)
Zanuy, M.F.: Face Recognition in a Transformed Domain. In: Proceedings 37th Annual International Carnahan Conference On Security Tecnology, pp. 290–297 (2003)
Gupta, M.M., Jin, L., Homma, N.: Static And Dynamic Neural Networks. John Wiley and Sons, New York (2003)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Grassi, M., Faundez-Zanuy, M. (2007). Face Recognition with Facial Mask Application and Neural Networks. In: Sandoval, F., Prieto, A., Cabestany, J., Graña, M. (eds) Computational and Ambient Intelligence. IWANN 2007. Lecture Notes in Computer Science, vol 4507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73007-1_85
Download citation
DOI: https://doi.org/10.1007/978-3-540-73007-1_85
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73006-4
Online ISBN: 978-3-540-73007-1
eBook Packages: Computer ScienceComputer Science (R0)