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FVC2000: fingerprint verification competition

Maio, D., Maltoni, D., Cappelli, R., Wayman, J.L., Jain, A.K.·2002·IEEE Transactions on Pattern Analysis and Machine Intelligence

Abstract

Reliable and accurate fingerprint recognition is a challenging pattern recognition problem, requiring algorithms robust in many contexts. FVC2000 competition attempted to establish the first common benchmark, allowing companies and academic institutions to unambiguously compare performance and track improvements in their fingerprint recognition algorithms. Three databases were created using different state-of-the-art sensors and a fourth database was artificially generated; 11 algorithms were extensively tested on the four data sets. We believe that FVC2000 protocol, databases, and results will be useful to all practitioners in the field not only as a benchmark for improving methods, but also for enabling an unbiased evaluation of algorithms.

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Metadata

Authors
Maio, D., Maltoni, D., Cappelli, R., Wayman, J. L., & Jain, A. K.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Published
2002-03
Volume
24
Issue
3
Pages
402-412
ISSN
0162-8828 (ISSN-L)
OpenAlex
W2142481374
Cited by
805
References
0
FWCI
78.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: FVC2000: fingerprint verification competition. https://app.cochat.ai/papers/10.1109/34.990140
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Maio, D., Maltoni, D., Cappelli, R., Wayman, J. L., & Jain, A. K. (2002). FVC2000: fingerprint verification competition. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.990140

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.