基于韦伯二值感知特征的指纹活性检测

doi:10.3969/j.issn.0255-8297.2016.05.014

应用科学学报 ›› 2016, Vol. 34 ›› Issue (5): 616-624.doi: 10.3969/j.issn.0255-8297.2016.05.014

基于韦伯二值感知特征的指纹活性检测

吕锐¹, 夏志华^1,2, 陈先意^1,2, 孙星明^1,2

1. 南京信息工程大学计算机与软件学院, 南京 210044;
2. 江苏省网络监控工程中心, 南京 210044

收稿日期:2016-08-04 修回日期:2016-08-17 出版日期:2016-09-30 发布日期:2016-09-30
通信作者: 夏志华,副教授,研究方向:数字取证、图像计算外包,E-mail:xia_zihua@163.com E-mail:xia_zihua@163.com
基金资助:
国家自然科学基金（No.61672294，No.61173141，No.U1536206，No.61232016，No.U1405254，No.61373133，No.61373132，No.61502242，No.61572258）；江苏高校优势学科建设工程PAPD基金；大气环境与装备技术协同创新中心（CICAEET）基金资助

Fingerprint Liveness Detection Based on Weber Binarized Perception Features

LÜ Rui¹, XIA Zhi-hua^1,2, CHEN Xian-yi^1,2, SUN Xing-ming^1,2

1. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China;
2. Jiangsu Engineering Center of Network Monitoring, Nanjing 210044, China

Received:2016-08-04 Revised:2016-08-17 Online:2016-09-30 Published:2016-09-30

摘要/Abstract

摘要：

基于韦伯二值感知特征的局部描述符，提出一种指纹活性检测方法。该方法包含两部分：根据韦伯定理提取视觉感知特征的局部二值差分激励，以及从中心对称像素对提取梯度方向特征的局部二值梯度方向。在2011年和2013年指纹活性检测竞赛的数据库上，使用支持向量机分类器对提取的特征向量进行训练和测试，实验结果表明了该方法进行指纹活性检测的有效性。

关键词: 局部描述符, 韦伯定律, 指纹活性检测, 特征提取, 生物识别

Abstract:

Based on Weber binarized perception features (WBPF), we propose a fingerprint liveness detection method. It consists of two components: local binary differential excitation (LBDE) for extracting perception features by Weber's law, local binary gradient orientation (LBGO) for extracting gradient based orientation features. The features are used to train SVM classifiers on two publicly available databases used in the Fingerprint Liveness Detection Competition 2011 and 2013. Experimental results show that the proposed method outperforms the state-of-the-art liveness detection techniques.

Key words: biometrics, fingerprint liveness detection, local descriptor, feature extract, Weber's law

中图分类号:

TN391

吕锐, 夏志华, 陈先意, 孙星明. 基于韦伯二值感知特征的指纹活性检测[J]. 应用科学学报, 2016, 34(5): 616-624.

LÜ Rui, XIA Zhi-hua, CHEN Xian-yi, SUN Xing-ming. Fingerprint Liveness Detection Based on Weber Binarized Perception Features[J]. Journal of Applied Sciences, 2016, 34(5): 616-624.

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基于韦伯二值感知特征的指纹活性检测

Fingerprint Liveness Detection Based on Weber Binarized Perception Features

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