Deep Vein: Novel Finger Vein Verification Methods Based on Deep Convolutional Neural Networks

被引：0

作者：

Huang, Houjun ^{[1
]}

Liu, Shilei ^{[1
]}

Zheng, He ^{[1
]}

Ni, Liao ^{[1
]}

Zhang, Yi ^{[1
]}

Li, Wenxin ^{[1
]}

机构：

[1] Peking Univ, Sch Elect Engn & Comp Sci, 5 Yiheyuan Rd, Beijing 100871, Peoples R China

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON IDENTITY, SECURITY AND BEHAVIOR ANALYSIS (ISBA) | 2017年

基金：

中国国家自然科学基金;

关键词：

RECOGNITION; EXTRACTION;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

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.

引用

页数：8

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