Abstract
An important aspect of fingerprint verification systems is the method used to quantify the similarity between two fingerprints. This involves two key components: choosing fingerprint features that will be used for comparison and selecting a match score function to calculate the degree of correspondence. The choice of features and a match score function can have a significant impact on the performance of a system. This paper presents a novel fingerprint verification criterion based on tabulating ridge intersections between distortion free fingerprints. Several alternative matching criteria have been implemented, and their performance is compared using a publicly available FVC2002 dataset. The novel ridge based approach proves to be highly discriminative, and a strong result is obtained by a hybrid system using a combination of minutiae and ridge based features.
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Yager, N., Amin, A. (2005). A Novel Verification Criterion for Distortion-Free Fingerprints. In: Gagalowicz, A., Philips, W. (eds) Computer Analysis of Images and Patterns. CAIP 2005. Lecture Notes in Computer Science, vol 3691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11556121_9
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DOI: https://doi.org/10.1007/11556121_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28969-2
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