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  • Research Article
  • Open Access

Fingerprint Image Enhancement Based on Second Directional Derivative of the Digital Image

EURASIP Journal on Advances in Signal Processing20022002:327301

https://doi.org/10.1155/S1110865702206010

  • Received: 16 October 2001
  • Published:

Abstract

This paper presents a novel approach of fingerprint image enhancement that relies on detecting the fingerprint ridges as image regions where the second directional derivative of the digital image is positive. A facet model is used in order to approximate the derivatives at each image pixel based on the intensity values of pixels located in a certain neighborhood. We note that the size of this neighborhood has a critical role in achieving accurate enhancement results. Using neighborhoods of various sizes, the proposed algorithm determines several candidate binary representations of the input fingerprint pattern. Subsequently, an output binary ridge-map image is created by selecting image zones, from the available binary image candidates, according to a MAP selection rule. Two public domain collections of fingerprint images are used in order to objectively assess the performance of the proposed fingerprint image enhancement approach.

Keywords

  • fingerprints
  • image enhancement
  • image derivative
  • facet model
  • ridge pattern

Authors’ Affiliations

(1)
Nokia Research Center, P.O. Box 100, Tampere, FIN-33721, Finland
(2)
Institute of Digital and Computer Systems, Tampere University of Technology, P.O. Box 553, Tampere, FIN-33101, Finland
(3)
Institute of Signal Processing, Tampere University of Technology, P.O. Box 553, Tampere, FIN-33101, Finland

Copyright

© Tico et al. 2002

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