Abstract
The effect of image quality on the performance of fingerprint verification is studied. In particular, we investigate the performance of two fingerprint matchers based on minutiae and ridge information as well as their score-level combination under varying fingerprint image quality. The ridge-based system is found to be more robust to image quality degradation than the minutiae-based system. We exploit this fact by introducing an adaptive score fusion scheme based on automatic quality estimation in the spatial frequency domain. The proposed scheme leads to enhanced performance over a wide range of fingerprint image quality.
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Keywords
- Image Quality
- Spatial Frequency Domain
- Fingerprint Verification
- Image Quality Degradation
- Increase Image Quality
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Fierrez-Aguilar, J., Chen, Y., Ortega-Garcia, J., Jain, A.K. (2005). Incorporating Image Quality in Multi-algorithm Fingerprint Verification. In: Zhang, D., Jain, A.K. (eds) Advances in Biometrics. ICB 2006. Lecture Notes in Computer Science, vol 3832. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11608288_29
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DOI: https://doi.org/10.1007/11608288_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31111-9
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