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Large-Scale Biometric Multimedia Processing

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Multimedia Data Mining and Analytics

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Abstract

The field of Biometrics analyses organic signals from people to identify or verify an identity using a combination of physiological, behavioural or cognitive characteristics such as voice, fingerprints, eye color, facial features, iris, handwriting or other characteristics. Large-scale biometric identification systems can benefit from modern optimisation, classification and parallel computation techniques to reduce cost and increase accuracy. This chapter discusses recent and novel developments by the authors in the approaches taken to enable large-scale biometric identification. The authors present an overview of different techniques to perform the tasks of search space reduction, feature selection and parallel processing of biometrics data. Topics covered are: support vector machines and hyperspace transformations for effectively searching extremely large fingerprint databases to identify individuals; evolutionary computing to perform efficient facial feature selection for identification purposes; and cloud and high-performance designs for biometric systems.

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Notes

  1. 1.

    www.Top500.org.

  2. 2.

    https://portal.uidai.gov.in/uidwebportal/dashboard.do.

  3. 3.

    http://aws.amazon.com/ec2.

  4. 4.

    http://www.rightscale.com.

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Acknowledgments

The authors would like to thank Nalini Ratha, IBM Corporation, for his suggestions and review of the chapter.

Author information

Authors and Affiliations

  1. IBM Corporation, 70 Rivonia Road, Sandton, Johannesburg, 2196, South Africa

    Stefan van der Stockt

  2. IBM Corporation, 3039 Cornwallis Road, Research Triangle Park, NC, 27709, USA

    Aaron K. Baughman

  3. IBM Corporation, 2300 Dulles Station Blvd, Herndon, VA, 20171-6349, USA

    Michael Perlitz

Authors
  1. Stefan van der Stockt
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  2. Aaron K. Baughman
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  3. Michael Perlitz
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Corresponding author

Correspondence to Stefan van der Stockt .

Editor information

Editors and Affiliations

  1. IBM Corp., Durham, North Carolina, USA

    Aaron K. Baughman

  2. Nokia Inc., Sunnyvale, California, USA

    Jiang Gao

  3. Google Inc., Mountain View, California, USA

    Jia-Yu Pan

  4. 4i, Inc., Carlsbad, California, USA

    Valery A. Petrushin

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van der Stockt, S., Baughman, A.K., Perlitz, M. (2015). Large-Scale Biometric Multimedia Processing. In: Baughman, A., Gao, J., Pan, JY., Petrushin, V. (eds) Multimedia Data Mining and Analytics. Springer, Cham. https://doi.org/10.1007/978-3-319-14998-1_8

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  • DOI: https://doi.org/10.1007/978-3-319-14998-1_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14997-4

  • Online ISBN: 978-3-319-14998-1

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