FVC2000: Fingerprint Verification Competition

  • Authors:
  • Dario Maio;Davide Maltoni;Raffaele Cappelli;J. L. Wayman;Anil K. Jain

  • Affiliations:
  • Univ. of Bologna, Cesena, Italy;Univ. of Bologna, Cesena, Italy;Univ. of Bologna, Cesena, Italy;San Jose State Univ., San Jose, CA;Michigan State Univ., East Lansing

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Year:
  • 2002

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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.