FVRC2016: The 2nd Finger Vein Recognition Competition

机译：FVRC2016：第二届手指静脉识别比赛

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

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.

机译：手指静脉识别是一种新近开发且很有前途的生物识别技术。在当前的研究中，手指静脉识别算法主要是根据实验室环境中收集的数据进行评估的。随着技术的发展，这项技术逐渐从实验室转变为实际使用。由于其无法控制的采集条件和用户的行为，在操作系统中捕获的指静脉图像与在实验室中获得的图像不同。组织了第二届手指静脉识别比赛（FVRC2016），目的是评估和比较基于此类数据的手指静脉识别算法。为评估和改进算法准备了3个在实际应用中收集的新数据集。在数据集上对6个提交的算法进行了广泛的测试。本文还介绍了测试协议和结果的详细分析。

著录项

来源
《2016 International Conference on Biometrics》|2016年|1-6|共6页
会议地点 Halmstad(SE)
作者
Yapeng Ye; Liao Ni; He Zheng; Shilei Liu; Yi Zhu; Deng Zhang; Weilai Xiang; Wenxin Li;
展开▼
作者单位

Peking University, China;

Peking University, China;

Peking University, China;

Peking University, China;

Xiamen Toyonway Intellectual Technology Co., LTD., China;

Peking University, China;

The High School Affilliated to Renmin University of China, China;

Peking University, China;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Veins; Feature extraction; Thumb; Image edge detection; Benchmark testing; Algorithm design and analysis;

机译：静脉;特征提取;拇指;图像边缘检测;基准测试;算法设计与分析;

相似文献

外文文献
中文文献
专利

1. Towards finger-vein image restoration and enhancement for finger-vein recognition ~☆ [J] . Jinfeng Yang, Yihua Shi Information Sciences: An International Journal . 2014,第EP期

机译：致力于手指静脉图像的恢复和增强，以实现手指静脉的识别〜☆
2. System for multimodal biometric recognition based on finger knuckle and finger vein using feature-level fusion and k-support vector machine classifier [J] . S. Veluchamy, L.R. Karlmarx Biometrics, IET . 2017,第3期

机译：特征级融合和k-支持向量机分类器的基于指关节和指静脉的多峰生物特征识别系统
3. Finger vein recognition based on finger crease location [J] . Lu Zhiying, Ding Shumeng, Yin Jing Journal of electronic imaging . 2016,第4期

机译：基于手指折痕位置的手指静脉识别
4. FVRC2016: The 2nd Finger Vein Recognition Competition [C] . Yapeng Ye, Liao Ni, He Zheng, IAPR International Conference on Biometrics . 2016

机译：FVRC2016：第二手指静脉识别竞争
5. Multi-Instance Finger Vein Recognition System Using Local Hybrid Binary Gradient Contour [D] . Ardianto, William 2016

机译：基于局部混合二进制梯度轮廓的多实例手指静脉识别系统
6. Multimodal Biometric Recognition Based on Convolutional Neural Network by the Fusion of Finger-Vein and Finger Shape Using Near-Infrared (NIR) Camera Sensor [O] . Wan Kim, Jong Min Song, Kang Ryoung Park 2018

机译：基于近红外相机传感器的手指静脉和手指形状融合的卷积神经网络多模态生物识别
7. ICFVR 2017: 3rd International Competition on Finger Vein Recognition [O] . Zhang, Yi, Huang, Houjun, Zhang, Haifeng, 2018

机译：ICFVR 2017：第三届手指静脉识别国际比赛

FVRC2016: The 2nd Finger Vein Recognition Competition

摘要

著录项

相似文献

相关主题

期刊订阅