ICFVR 2017:第三届手指静脉识别国际比赛

Yi Zhang, Houjun Huang, Haifeng Zhang, Liao Ni, W. Xu, N. U. Ahmed, Md. Shakil Ahmed, Yilun Jin, Ying Chen, Jingxuan Wen, Wenxin Li
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引用次数: 3

摘要

近年来,手指静脉识别已成为生物识别领域的一个重要分支,并开始应用于现实世界。手指静脉识别算法的发展严重依赖于大规模的真实世界数据集。为了激发对手指静脉识别的研究,我们发布了迄今为止最大的手指静脉数据集,并每年基于我们的数据集举办手指静脉识别比赛。2017年与IJCB 2017联合举办国际手指静脉识别大赛(ICFVR)。11个团队报名,其中10个团队参加最终评审。与去年的冠军相比,今年的冠军将EER从2.64%大幅提高到0.483%。在本文中,我们介绍了ICFVR 2017的过程和结果,并对最先进的手指静脉识别算法的发展提出了见解。
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ICFVR 2017: 3rd international competition on finger vein recognition
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.
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