FVC2000: Fingerprint Verification Competition

FVC2000: Fingerprint Verification Competition

| D. Maio, D. Maltoni, R. Cappelli, J. L. Wayman, A. K. Jain
The FVC2000 competition, organized by D. Maio, D. Maltoni, R. Cappelli, J. L. Wayman, and A. K. Jain, aims to establish a common benchmark for fingerprint recognition algorithms. The competition involves four databases created using different state-of-the-art sensor technologies and 11 algorithms tested on these databases. The goal is to provide a reliable and unbiased evaluation of fingerprint recognition performance, allowing both academic and industrial participants to compare their algorithms and track improvements. The competition uses a "universal" sensor, which includes four different sensors, to ensure a standardized testing environment. The algorithms are evaluated based on their performance on enrollment and matching tasks, with metrics such as False Match Rate (FMR) and False Non-Match Rate (FNMR) being used to assess their effectiveness. The results from the competition are expected to provide valuable insights into the current state of fingerprint recognition technology and guide future research and development.The FVC2000 competition, organized by D. Maio, D. Maltoni, R. Cappelli, J. L. Wayman, and A. K. Jain, aims to establish a common benchmark for fingerprint recognition algorithms. The competition involves four databases created using different state-of-the-art sensor technologies and 11 algorithms tested on these databases. The goal is to provide a reliable and unbiased evaluation of fingerprint recognition performance, allowing both academic and industrial participants to compare their algorithms and track improvements. The competition uses a "universal" sensor, which includes four different sensors, to ensure a standardized testing environment. The algorithms are evaluated based on their performance on enrollment and matching tasks, with metrics such as False Match Rate (FMR) and False Non-Match Rate (FNMR) being used to assess their effectiveness. The results from the competition are expected to provide valuable insights into the current state of fingerprint recognition technology and guide future research and development.
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