FVRC2016: The 2nd Finger Vein Recognition Competition

Yapeng Ye, Liao Ni, He Zheng, Shilei Liu, Yi Zhu, Deng Zhang, Weilai Xiang, Wenxin Li
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引用次数: 12

Abstract

Finger vein recognition is a newly developed and promising biometrics technology. In current researches, finger vein recognition algorithms are mostly evaluated on data collected in laboratory environment. Along with its development, this technology gradually transforms from laboratory to actual use. Finger vein images captured in operational systems are different from those obtained in the lab, due to its uncontrollable acquisition condition and users' behavior. The 2nd Finger Vein Recognition Competition (FVRC2016) was organized for the purpose of assessing and comparing finger vein recognition algorithms on such data. 3 new data sets collected in real application were prepared for evaluating and improving algorithms. 6 submitted algorithms were extensively tested on the data sets. Testing protocols and detailed analysis of the results are also presented in this paper.
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FVRC2016:第二届手指静脉识别大赛
手指静脉识别是一项新兴的生物识别技术。在目前的研究中,手指静脉识别算法大多是基于实验室环境中采集的数据进行评估的。随着技术的发展,该技术逐渐从实验室走向实际应用。由于采集条件的不可控和用户行为的不可控,在操作系统中采集到的指静脉图像与在实验室中获得的不同。第二届手指静脉识别大赛(FVRC2016)旨在评估和比较基于这些数据的手指静脉识别算法。准备了实际应用中收集的3个新数据集,用于评估和改进算法。提交的6种算法在数据集上进行了广泛测试。本文还介绍了测试方案和测试结果的详细分析。
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