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Frequency-Based Fingerprint Recognition

  • Chapter
Handbook of Remote Biometrics

Part of the book series: Advances in Pattern Recognition ((ACVPR))

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Abstract

abstract Fingerprint recognition is one of the most popular methods used for identification with greater success degree. Fingerprint has unique characteristics called minutiae, which are points where a curve track ends, intersects, or branches off. In this chapter a fingerprint recognition method is proposed in which a combination of fast Fourier transform (FFT) and Gabor filters is used for image enhancement. A novel recognition stage using local features for recognition is also proposed. Also a verification stage is introduced to be used when the system output has more than one person.

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Author information

Authors and Affiliations

  1. SEPI ESIME Culhuacan, Instituto Politécnico Nacional, Av. Santa Ana 1000, México D.F

    Gualberto Aguilar, Gabriel Sánchez, Karina Toscano & Héctor Pérez

Authors
  1. Gualberto Aguilar
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  2. Gabriel Sánchez
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  3. Karina Toscano
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  4. Héctor Pérez
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Corresponding author

Correspondence to Gualberto Aguilar .

Editor information

Editors and Affiliations

  1. Universitá of Sassari, Dipto. Architettura e Pianificazione, Piazza Duomo, 6, 07041 Alghero SS, Italy

    Massimo Tistarelli (Prof.) (Prof.)

  2. Chinese Academy of Science Institute of Automation, Center Biometrics Research & Security, Room 1227, Zhongguancun 95, 100080 Beijing, China

    Stan Z. Li

  3. University of Maryland, Center for Automation Research, College Park, MD 20742-3275, USA

    Rama Chellappa

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© 2009 Springer-Verlag London Limited

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Aguilar, G., Sánchez, G., Toscano, K., Pérez, H. (2009). Frequency-Based Fingerprint Recognition. In: Tistarelli, M., Li, S.Z., Chellappa, R. (eds) Handbook of Remote Biometrics. Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-84882-385-3_16

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  • DOI: https://doi.org/10.1007/978-1-84882-385-3_16

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-384-6

  • Online ISBN: 978-1-84882-385-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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