%0 Journal Article
%T 指静脉识别研究综述<br>Survey of Finger Vein Recognition Study
%A 尹义龙
%A 杨公平杨璐
%J 数据采集与处理
%D 2015
%X 指静脉识别因其独特的优势具有巨大的市场潜力，并得到了国内外各研究团体和工业界的高度关注。本文介绍了指静脉识别的主要研究内容及其研究现状，包括指静脉成像方法及图像增强技术、特征提取方法及与指静脉有关的多模态、多特征融合方法。其中详细介绍了指静脉特征提取方法，并将其划分为4类，即指静脉纹路特征、纹理特征、细节点特征及使用机器学习方法获得的特征。在此基础上进一步对指静脉识别及其应用面临的挑战性问题做了分析，这些问题主要包括降低采集设备价格、提高采集图像质量，及减小各种因素,如低质量图像、手指姿态变化、大规模用户群及室外采集等对识别性能的影响，这些问题为今后的指静脉识别的相关研究提供了思路和启迪。<br>As a new biometric technique, finger vein recognition has attracted lots of attention from research groups and industry at home and abroad, and shows great market potentials. This paper introduces main current researches on finger vein recognition, including finger vein imaging principle and image enhancement techniques, feature extraction methods， finger vein related multi-feature and multi-model fusion methods. Feature extraction methods are described comprehensively, and classified into four categories, i.e., vein pattern feature, texture feature, minutiae feature, and learned feature by machine learning methods. Based on these analyses, we further summary some challenges in finger vein recognition and its applications, including lowering the price of imaging device, improving the quality of image, and decreasing the effect from low quality image, the finger displacement, large scale populations and outdoor image acquisition. And we hope that the challenges can inspire some new ideas in the future.
%K 生物特征识别
%K 指静脉识别
%K 特征提取&lt
%K br&gt
%K biometrics
%K finger vein recognition
%K feature extraction
%U http://sjcj.nuaa.edu.cn/ch/reader/view_abstract.aspx?file_no=20150502&flag=1