期刊文献+

手指静脉图像感兴趣区域提取研究综述

Review:Region of Interest Extraction from Finger Vein Images
下载PDF
导出
摘要 近年全球的疫情促使生物识别技术进一步发展,指静脉识别作为第二代生物识别技术因其具有极高的安全性等优点而被应用于各个领域。指静脉图像感兴趣区域提取作为指静脉识别系统至关重要的一部分,是识别系统性能与适应不同应用场景的保证。分别介绍了商用指静脉识别产品与科研用指静脉采集设备,对其公开数据集进行了整理与分析;重点论述了指静脉图像预处理中感兴趣区域提取的主要工作,对各个步骤的代表性方法进行了深入梳理与分析,并对指静脉特征提取与匹配认证进行了概述;最后对其今后的发展与应用进行了总结与展望。 In recent years,the global epidemic promotes the further development of Biometrics.As the second generation of biometric technology,finger vein recognition has been applied in various fields due to its high safety and other advan-tages.As an important part of the finger vein recognition system,the Region of Interest(ROI)extraction is the guarantee of the recognition system performance and the adaptability to different application scenarios.Firstly,finger vein recognition products for commercial use and finger vein acquisition equipment for scientific research are introduced.Secondly,public datasets are collated and analyzed.Moreover,focusing on the main work of ROI extraction in the preprocessing of finger vein images,each step of extraction is discussed,and the representative methods are deeply searched and ana-lyzed.Thirdly,finger vein feature extraction and matching are introduced.Finally,the development and application of ROI extraction in the future are summarized and prospected.
作者 王一凡 鲁慧民 高若然 李阳 WANG Yifan;LU Huimin;GAO Ruoran;LI Yang(School of Computer Science and Engineering,Changchun University of Technology,Changchun 130102,China)
出处 《计算机工程与应用》 CSCD 北大核心 2021年第13期34-42,共9页 Computer Engineering and Applications
基金 吉林省科技发展计划重点研发项目(20200401103GX) 吉林省教育厅“十三五”科学技术研究规划重点项目(JJKH20200680KJ,JJKH20200677KJ) 国家自然科学基金(61806024)。
关键词 生物信息识别 指静脉识别 感兴趣区域 指静脉传感器 指静脉图像数据集 biometric identification finger vein recognition Region of Interest(ROI) finger vein sensor finger vein image dataset
  • 相关文献

参考文献7

二级参考文献46

  • 1尹克重,龚卫国,李伟红,梁毅雄.基于小波变换和ICA的人脸识别方法[J].仪器仪表学报,2005,26(z2):412-415. 被引量:10
  • 2闫丽,段发阶.单目立体视觉传感器的优化设计及精度分析[J].传感技术学报,2006,19(2):349-352. 被引量:12
  • 3李伟红,陈伟民,龚卫国.一种人脸特征选择新方法的研究[J].电子测量与仪器学报,2006,20(2):16-20. 被引量:9
  • 4余成波,秦华锋.手指静脉识别技术[M].北京:清华大学出版社,2009.
  • 5Hashimoto J.Finger vein authentication technology and its future[C]//2006 Symposium on VLSI Circuits Di- gest of Technical Papers, 2006 : 5-8.
  • 6Yu Chengbo, Qing Huafeng, Zhang Lian. (2D) 2FPCA: anefficient approach for appearance based object recogni- tion[C]//2009 3rd International Conference on Bioinfor- matics and Biomedical Engineering(ICBBE'09),Beijing, China, 11-16 June,2009: 1-4.
  • 7Jang Y K, Kang B J, Park K R.A study on touchless finger vein recognition robust to the alignment and ro- tation of finger[J].KIPS Trans Part B, 2008, 15-B(4) : 275-284.
  • 8Qian Xiaohua, Guo Shuxu, Li Xueyan, et al.Finger-vein recognition based on the score level moment invariants fusion[C]//Intemational Conference on Computational In- telligence and Software Engineering(CISE'09),Wuhan, China, 11-13 Dec, 2009: 1-4.
  • 9Yang Jinfeng, Zhang Xu.Fea~tre-level fusion of global and local features for finger-vein recognition[C]//10th International Conference on Signal Processing(ICSP' 10), Beijing, China, 24-28 Oct, 2010 : 1702-1705.
  • 10Guan Fengxu, Wang Kejun, Mo Hongwei, et al.Research of finger vein recognition based on fusion of wavelet moment and horizontal and vertical 2DPCA[C]//2nd In- ternational Congress on Image and Signal Processing (CISP' 09), Tianjin, China, 17-19 Oct, 2009 : 1-5.

共引文献59

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部