Open Access

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

EURASIP Journal on Advances in Signal Processing20022002:327301

Received: 16 October 2001

Published: 22 October 2002


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.


fingerprintsimage enhancementimage derivativefacet modelridge pattern

Authors’ Affiliations

Nokia Research Center, Tampere, Finland
Institute of Digital and Computer Systems, Tampere University of Technology, Tampere, Finland
Institute of Signal Processing, Tampere University of Technology, Tampere, Finland


© Tico et al. 2002