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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2015: Artificial Intelligence and Soft Computing pp 149–159Cite as

A Fingerprint Retrieval Technique Using Fuzzy Logic-Based Rules

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9119))

Abstract

This paper proposes a global fingerprint feature named QFingerMap that provides fuzzy information about a fingerprint image. A fuzzy rule that combines information from several QFingerMaps is employed to register an individual in a database. Error and penetration rates of a fuzzy retrieval system based on those rules are similar to other systems reported in the literature that are also based on global features. However, the proposed system can be implemented in hardware platforms of very much lower computational resources, offering even lower processing time.

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Author information

Authors and Affiliations

  1. Microelectronics Institute of Seville (IMSE-CNM), University of Seville and Spanish National Research Council (CSIC), Seville, Spain

    Rosario Arjona & Iluminada Baturone

Authors
  1. Rosario Arjona
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  2. Iluminada Baturone
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Corresponding author

Correspondence to Rosario Arjona .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Częstochowa, Poland

    Rafal Scherer

  4. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Arjona, R., Baturone, I. (2015). A Fingerprint Retrieval Technique Using Fuzzy Logic-Based Rules. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2015. Lecture Notes in Computer Science(), vol 9119. Springer, Cham. https://doi.org/10.1007/978-3-319-19324-3_14

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  • DOI: https://doi.org/10.1007/978-3-319-19324-3_14

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19323-6

  • Online ISBN: 978-3-319-19324-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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