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International Conference Image Analysis and Recognition

ICIAR 2012: Image Analysis and Recognition pp 11–19Cite as

Two Unconstrained Biometric Databases

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7325))

Abstract

In the last few years the research community has witnessed significant progress in biometric technology, due to the availability of a wide variety of databases. However, the available databases that are currently available present significant setbacks in terms of restricted access to data, low-resolution and restrictions imposed on individuals during the acquisition phase.

In this paper, two new public databases are described that have been created, with fingerprint and palm print images and their characteristics are compared with other databases available in the research community. The advantages of these databases are the great variety of individual characteristics, they have no restrictions during acquisition and they have manual ground truth annotation. They were presented in two different international competitions and have been used in research by different authors.

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Author information

Authors and Affiliations

  1. INESC TEC (formerly INESC Porto) and Faculdade de Engenharia, Universidade do Porto, Campus FEUP, Rua Dr. Roberto Frias, 378, 4200-465, Porto, Portugal

    Hélder P. Oliveira & Filipe Magalhães

Authors
  1. Hélder P. Oliveira
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  2. Filipe Magalhães
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Editor information

Editors and Affiliations

  1. Faculty of Engineering, Institute of Biomedical Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Aurélio Campilho

  2. Department of Electrical and Computer Engineering, University of Waterloo, N2L 3G1, Waterloo, ON, Canada

    Mohamed Kamel

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© 2012 Springer-Verlag Berlin Heidelberg

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Oliveira, H.P., Magalhães, F. (2012). Two Unconstrained Biometric Databases. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2012. Lecture Notes in Computer Science, vol 7325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31298-4_2

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  • DOI: https://doi.org/10.1007/978-3-642-31298-4_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31297-7

  • Online ISBN: 978-3-642-31298-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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