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Feature Selection of Hand Biometrical Traits Based on Computational Intelligence Techniques

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Book cover Computational Intelligence for Privacy and Security

Part of the book series: Studies in Computational Intelligence ((SCI,volume 394))

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Abstract

This chapter presents a novel methodology for using feature selection in hand biometric systems, based on genetic algorithms and mutual information. The aim is to provide a standard features dataset which diminishes the number of features to extract and decreases the complexity of the whole identification process. The experimental results show that it is not always necessary to apply sophisticated and complex classifiers to obtain good accuracy rates. This methodology approach manages to discover the most suitable geometric hand features, among all the extracted data, to perform the classification task. Simple classifiers like K-Nearest Neighbour (kNN) or Linear Discriminant Analysis (LDA) in combination with this strategy, getting even better results than other more complicated approaches.

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Author information

Authors and Affiliations

  1. Department of Computer Technology, Forsec, De Monfort University, The Gateway, LE1 9BH, Leicester, United Kingdom

    D. Elizondo

  2. Department of Computer Languages and Computer Science, University of Málaga, Campus Teatinos s/n, 29071, Málaga, Spain

    R. M. Luque, E. López-Rubio & E. J. Palomo

Authors
  1. R. M. Luque
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  2. D. Elizondo
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  3. E. López-Rubio
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  4. E. J. Palomo
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Corresponding author

Correspondence to R. M. Luque .

Editor information

Editors and Affiliations

  1. , The Gateway, De Montfort University, Leicester, LE1 9BH, United Kingdom

    David A. Elizondo

  2. , Department of Computer Engineering and, Universitat Rovira i Virgili, Av. Paisos Catalans 26, Tarragona, 43007, Spain

    Agusti Solanas

  3. , Department of Computer Engineering and, Universitat Rovira i Virgili, Av. Paisos Catalans 26, Tarragona, 43007, Spain

    Antoni Martinez-Balleste

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© 2012 Springer-Verlag Berlin Heidelberg

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Luque, R.M., Elizondo, D., López-Rubio, E., Palomo, E.J. (2012). Feature Selection of Hand Biometrical Traits Based on Computational Intelligence Techniques. In: Elizondo, D., Solanas, A., Martinez-Balleste, A. (eds) Computational Intelligence for Privacy and Security. Studies in Computational Intelligence, vol 394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25237-2_10

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  • DOI: https://doi.org/10.1007/978-3-642-25237-2_10

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  • Print ISBN: 978-3-642-25236-5

  • Online ISBN: 978-3-642-25237-2

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