In this paper we propose a semi-automatic approach for the enhancement of very low quality fingerprints such as latent fingerprints. A specific markup tool is designed to allow fingerprint examiners to simply and quickly provide sparse estimates of local orientations and frequencies. These estimates are then interpolated though Delaunay triangulation and fed to a contextual Gabor-based enhancement algorithm that significantly improves the image quality, thus making the successive automatic feature extraction much more reliable. Experimental results (both qualitative and quantitative) confirm the effectiveness of this method over a fully-automatic state-of-the-art approach.

R. Cappelli, D. Maio , D. Maltoni (2009). Semi-automatic Enhancement of Very Low Quality Fingerprints. SALZBURG : IEEE.

Semi-automatic Enhancement of Very Low Quality Fingerprints

CAPPELLI, RAFFAELE;MAIO, DARIO;MALTONI, DAVIDE
2009

Abstract

In this paper we propose a semi-automatic approach for the enhancement of very low quality fingerprints such as latent fingerprints. A specific markup tool is designed to allow fingerprint examiners to simply and quickly provide sparse estimates of local orientations and frequencies. These estimates are then interpolated though Delaunay triangulation and fed to a contextual Gabor-based enhancement algorithm that significantly improves the image quality, thus making the successive automatic feature extraction much more reliable. Experimental results (both qualitative and quantitative) confirm the effectiveness of this method over a fully-automatic state-of-the-art approach.
2009
Proceedings of the 6th International Symposium onImage and Signal Processing and AnalysisSalzburg, Austria, September 16-18, 2009
678
683
R. Cappelli, D. Maio , D. Maltoni (2009). Semi-automatic Enhancement of Very Low Quality Fingerprints. SALZBURG : IEEE.
R. Cappelli; D. Maio ; D. Maltoni
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/78504
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