A Comparative Study of Fingerprint Image-Quality Estimation Methods

One of the open issues in fingerprint verification is the lack of robustness against image-quality degradation. Poor-quality images result in spurious and missing features, thus degrading the performance of the overall system. Therefore, it is important for a fingerprint recognition system to estima...

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Bibliographic Details
Published in:IEEE transactions on information forensics and security 2007-12, Vol.2 (4), p.734-743
Main Authors: Alonso-Fernandez, F., Fierrez, J., Ortega-Garcia, J., Gonzalez-Rodriguez, J., Fronthaler, H., Kollreider, K., Bigun, J.
Format: Article
Language:English
Subjects:
Bioengineering
Biometrics
Biosensors
Bioteknik
Character recognition
Computer information security
Degradation
Fingerprint recognition
Fingerprint verification
Fingerprints
Image matching
Image sensors
ISO standards
minutia
quality assessment
Recognition
Robustness
TECHNOLOGY
TEKNIKVETENSKAP
Testing
Visual
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Summary:One of the open issues in fingerprint verification is the lack of robustness against image-quality degradation. Poor-quality images result in spurious and missing features, thus degrading the performance of the overall system. Therefore, it is important for a fingerprint recognition system to estimate the quality and validity of the captured fingerprint images. In this work, we review existing approaches for fingerprint image-quality estimation, including the rationale behind the published measures and visual examples showing their behavior under different quality conditions. We have also tested a selection of fingerprint image-quality estimation algorithms. For the experiments, we employ the BioSec multimodal baseline corpus, which includes 19 200 fingerprint images from 200 individuals acquired in two sessions with three different sensors. The behavior of the selected quality measures is compared, showing high correlation between them in most cases. The effect of low-quality samples in the verification performance is also studied for a widely available minutiae-based fingerprint matching system.
ISSN:1556-6013
1556-6021
1556-6021
DOI:10.1109/TIFS.2007.908228