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Correlation-Based Fingerprint Matching with Orientation Field Alignment

  • Almudena Lindoso
  • Luis Entrena
  • Judith Liu-Jimenez
  • Enrique San Millan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4642)

Abstract

Correlation-based techniques are a promising approach to fingerprint matching for the new generation of high resolution and touchless fingerprint sensors, since they can match ridge shapes, breaks, etc. However, a major drawback of these techniques is the high computational effort required. In this paper a coarse alignment step is proposed which reduces the amount of correlations that should be performed. Contrarily to other alignment approaches based on minutiae or core location, the alignment is based on the orientation field estimations. Also the orientation coherence is used to identify the best areas for correlation. The accuracy of the approach is demonstrated by experimental results with an FVC2000 fingerprint database. The approach is also very well suited for hardware acceleration due to the regularity of the used operations.

Keywords

Orientation Field Correlation Computation Fingerprint Image Hardware Acceleration Matching Step 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Almudena Lindoso
    • 1
  • Luis Entrena
    • 1
  • Judith Liu-Jimenez
    • 1
  • Enrique San Millan
    • 1
  1. 1.University Carlos III of Madrid, Electronic Technology Department, Butarque 15, 28911 Leganes, MadridSpain

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