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

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.

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Correspondence to Marius Tico.

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Tico, M., Onnia, V. & Kuosmanen, P. Fingerprint Image Enhancement Based on Second Directional Derivative of the Digital Image. EURASIP J. Adv. Signal Process. 2002, 327301 (2002). https://doi.org/10.1155/S1110865702206010

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Keywords

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