Deep Vein: Novel Finger Vein Verification Methods Based on Deep Convolutional Neural Networks | |
Huang, Houjun ; Liu, Shilei ; Zheng, He ; Ni, Liao ; Zhang, Yi ; Li, Wenxin | |
2017 | |
关键词 | RECOGNITION EXTRACTION PATTERN |
英文摘要 | Finger vein verification is using vein patterns to verify a person's identity, which is widely used in various fields. In practice, the method for verification is the most important part of a biometric system, which determines the reliability of the system. In this paper, we propose methods called Deep Vein for finger vein verification based on deep convolutional neural networks and conduct experiments to evaluate our methods. The experimental results show that our proposed methods can achieve state-of-the-art performance in accuracy. In addition, we present how the amount of data for training affects the accuracy in the test datasets.; National Natural Science Foundation of China (NSFC) [91646202, 61472006]; Test Plan to Cultivate Top-Notch Students in Basic Discipline; CPCI-S(ISTP) |
语种 | 英语 |
出处 | IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) |
内容类型 | 其他 |
源URL | [http://ir.pku.edu.cn/handle/20.500.11897/469822] |
专题 | 信息科学技术学院 |
推荐引用方式 GB/T 7714 | Huang, Houjun,Liu, Shilei,Zheng, He,et al. Deep Vein: Novel Finger Vein Verification Methods Based on Deep Convolutional Neural Networks. 2017-01-01. |
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