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Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems pp 157–164Cite as

An environment for recognition systems modeling

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Abstract

In this paper we present possibilities of the FaReS-Mod environment, which is assigned for design and examine face recognition systems. The FaReS-Mod allows to: analyse gotten results of a recognition process and select optimum parameters for a model. Described environment considerable accelerates design of a recognition system due to use set of function blocks and intuitive interface. The FaReS-Mod uses the most popular methods of feature space reduction (PCA, LDA) and preliminary processing.

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References

  1. Swets D.L., Weng J. 1996. ‘Using Discriminant Eigenfeatures for Image Retrieval’. IEEE Tram. PAMI, vol. 18, no. 8.

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  4. Tsapatsoulis N., Alexopoulos V., Kollias S. A. 1998. ‘Vector Based Approximation of KLT and Its Application to Face Recognition’. Proceedings of the IX European Signal Processing Conference EUSIPCO-98, Greece, vol.III, pp.1581–1584.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science & Information Systems, Technical University of Szczecin, Poland

    Georgy Kukharev & Adam Kuźmiński

Authors
  1. Georgy Kukharev
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  2. Adam Kuźmiński
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Editor information

Editors and Affiliations

  1. Technical University of Szczecin, Poland

    Jerzy Pejaś  & Andrzej Piegat  & 

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© 2005 Springer Science+Business Media, Inc.

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Kukharev, G., Kuźmiński, A. (2005). An environment for recognition systems modeling. In: Pejaś, J., Piegat, A. (eds) Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems. Springer, Boston, MA. https://doi.org/10.1007/0-387-23484-5_15

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  • DOI: https://doi.org/10.1007/0-387-23484-5_15

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4020-7776-0

  • Online ISBN: 978-0-387-23484-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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