A novel approach to fingerprint image quality
Tabassi, E.
Wilson, C.L.
Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA;
This paper appears in: Image Processing, 2005. ICIP 2005. IEEE International Conference on
Publication Date: 11-14 Sept. 2005
Volume: 2,
On page(s): II- 37-40
ISBN: 0-7803-9134-9
INSPEC Accession Number: 8845667
Digital Object Identifier: 10.1109/ICIP.2005.1529985
Current Version Published: 2005-11-14
Abstract
We present a novel measure of fingerprint image quality, which can be used to estimate fingerprint match performance. This means presenting the matcher with good quality fingerprint images will result in high matcher performance, and vice versa, the matcher will perform poorly for poor quality fingerprints. We discuss the implementation of our fingerprint image quality metric and we present the results of testing it on 280 different combinations of fingerprint image data and fingerprint matcher systems. We found that the metric predicts matcher performance for all systems and datasets. Our definition of quality can be applied to other biometric modalities and upon proper feature extraction can be used to assess quality of any mode of biometric samples.
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