ICFVR 2017: 3rd International Competition on Finger Vein Recognition
This competition addresses the need for improved finger vein recognition algorithms in biometrics by benchmarking progress, though it is incremental as it builds on annual competitions.
The paper organized the 3rd International Competition on Finger Vein Recognition (ICFVR 2017) to advance research by providing a large-scale dataset, resulting in the winner reducing the Equal Error Rate (EER) from 2.64% to 0.483% compared to the previous year.
In recent years, finger vein recognition has become an important sub-field in biometrics and been applied to real-world applications. The development of finger vein recognition algorithms heavily depends on large-scale real-world data sets. In order to motivate research on finger vein recognition, we released the largest finger vein data set up to now and hold finger vein recognition competitions based on our data set every year. In 2017, International Competition on Finger Vein Recognition(ICFVR) is held jointly with IJCB 2017. 11 teams registered and 10 of them joined the final evaluation. The winner of this year dramatically improved the EER from 2.64% to 0.483% compared to the winner of last year. In this paper, we introduce the process and results of ICFVR 2017 and give insights on development of state-of-art finger vein recognition algorithms.