[1]谭营,王军.手指静脉身份识别技术最新进展[J].智能系统学报,2011,6(6):471-482.
　TAN Ying,WANG Jun.Recent advances in finger vein based biometric techniques[J].CAAI Transactions on Intelligent Systems,2011,6(6):471-482.
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手指静脉身份识别技术最新进展

《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷: 6 期数: 2011年第6期 页码: 471-482 栏目: 综述 出版日期: 2011-12-25
Title:
Recent advances in finger vein based biometric techniques
文章编号:
1673-4785(2011)06-0471-12
作者:
谭营 1,2, 王军 1,2
1.北京大学 机器感知与智能教育部重点实验室,北京100871；
2.北京大学 信息科学技术学院，北京100871
Author(s):
TAN Ying 1,2， WANG Jun 1,2
1.Key Laboratory of Machine Perception (MOE), Peking University, Beijing 100871, China；
2.School of Electronics Engineering and Computer Science, Peking University,Beijing 100871,China
关键词:
生物特征身份识别; 手指静脉; 图像增强; 特征提取; 模式匹配
Keywords:
biometric identification;  finger vein;  image enhancement;  feature extraction;  pattern matching
分类号:
TP391
文献标志码:
A
摘要:
基于手指静脉的身份识别是一种新兴的生物身份识别技术，由于手指静脉身份识别具有强防伪、低成本、易获取等优良特性，在许多领域得到广泛应用，成为一种最重要的生物识别技术之一. 对手指静脉身份识别技术的现状和发展进行了总结和评述.首先，回顾了手指静脉身份识别的起源和发展过程，然后，总结了该技术的通用实现流程，对实现手指静脉的几大关键技术(如样本获取、图像增强、特征提取和匹配方法等)的最新研究成果进行了全面介绍.进一步，对现有典型方法的性能进行了系统评估.最后，总结了现有手指静脉识别技术的应用现状，展望了其发展前景，并指明了下一步的研究方向.
Abstract:
Biometrics based on finger vein patterns is a burgeoning biometric technique. It will undoubtedly become one of the most important techniques and receive extensive application in many fields because of its many virtues, such as protection against forgery, low cost, and ease of capture. This paper surveys the present condition and development of biometrics based on finger veins. First of all, the origin and development of finger vein based biometrics were reviewed; then, the general framework of finger vein based biometrics was presented. In particular, several key techniques for realizing finger vein based biometrics were examined, including sample image acquisition, image enhancement, feature extraction, and pattern matching. Furthermore, the performance of the stateoftheart algorithms for finger vein based biometrics was systematically evaluated. Finally, the current situation and development prospects of the application of finger vein based biometrics were summarized and its future research direction was further indicated.
参考文献/References:
［1］DAVIS D, HIGGINS P, KORMARINSKI P, MARGUES J, ORLANS N, WAYMAN J. State of the art biometrics excellence roadmap［EB/OL］. ［20080915］. http://www.biometriccoe.gov/SABER/index.htm.
［2］JAIN A K, FLYNN P, ARUN A R. Handbook of biometrics［M］. Secaucus, NJ, USA: SpringerVerlag, 2007: 1521.
［3］LUO F X, YU H, PAN J S, CHU S C, TSAI P W. A survey of vein recognition techniques［J］. Inform Technol J, 2010(9): 11421149.
［4］WEAVER A C. Biometric authentication［J］. Computer, 2006, 39(2): 9697.
［5］GOLDSTEIN A J, HARMON L D, LESK A B. Identification of human faces［J］.Proceedings of the IEEE, 1971, 59(5): 748760.
［6］LEE H C, GAENSSLEN R E. Advances in fingerprint technology［M］. 2nd ed. Boca Raton, Florida, USA： CRC Press LLC, 2001：1015. 
［7］WILLIAMS G O. Iris recognition technology, in security technology［C］//30th Annual 1996 International Carnahan Conference.［S.l.］, 1996： 4659. 
［8］SHIMIZU K. Optical transbody imaging feasibility of optical CT and functional imaging of living body［J］. Medicina Philosophicas, 1992, 11: 620629.
［9］CROSS J M, SMITH C L. Thermographic imaging of the subcutaneous vascular network of the back of the hand for biometric identification［C］//IEEE International Carnahan Conference on Security Technology. Sanderstead, UK， 1995: 2035. 
［10］KONO M, UEKI H, UMEMURA S. A new method for the identification of individuals by using of vein pattern matching of a finger［C］//Proceedings of the Fifth Symposium on Pattern Measurement. Yamaguchi, Japan, 2000: 912.
［11］DAI Yanggang, HUANG Beining, LI Wenxin, XU Zhuoqun. A method for capturing the fingervein image using nonuniform intensity infrared light［C］//Proceedings of the 2008 Congress on Image and Signal Processing. Washington, DC, USA, 2008, 4: 501505. 
［12］MIURA N, NAGASAKA A, MIYATAKE T. Feature extraction of finger vein patterns based on iterative line tracking and its application to personal identification［J］. Systems and Computers in Japan, 2004, 35(7): 6171.
［13］WU Jianda, YE Siouhuan. Driver identification using fingervein patterns with radon transform and neural network［J］. Expert Systems with Applications, 2009, 36(3): 57935799.
［14］ZHAO Shi, WANG Yiding, WANG Yunhong. Extracting hand vein patterns from lowquality images: a new biometric technique using lowcost devices［C］//Fourth International Conference on Image and Graphics. Chengdu, China， 2007: 667671.
［15］CORP H. Finger vein authentication technology. ［EB/OL］.［20091121］. http://www.hitachi.co.jp/products/it/veinid/global/index.html.
［16］Sony Corp. “mofiria” finger vein authentication technology［EB/OL］. ［20091213］. http://www.sony.net/SonyInfo/technology/technology/theme/mofiria 01.html.
［17］HASHIMOTO J. Finger vein authentication technology and its future［C］//VLSI Circuits. Honolulu, USA, 2006: 58.
［18］IBG. Biometrics market and industry report 20092014［EB/OL］. ［2009123］. http://www.biometricgroup.com/reports/public/market report.php.
［19］YANAGAWA T, AOKI S, OHYAMA T. Human finger vein images are diverse and its patterns are useful for personal identification［R］. MHF Preprint Series, Faculty of Mathematics, 2007. 
［20］YU Chengbo, QING Huafeng, ZHANG Lian. A research on extracting low quality human finger vein pattern characteristics［C］//The 2nd International Conference on Bioinformatics and Biomedical Engineering. Shanghai, China, 2008: 18761879.
［21］CNN. Biometric atm gives cash via ‘finger vein’ scan. ［EB/OL］. ［20100123］. http://edition.cnn.com/2010/WORLD/europe/07/05/first.biometric.atm.europe/index.html.
［22］MULYONO D, JINN H S. A study of finger vein biometric for personal identification［C］//International Symposium on Biometrics and Security Technologies. Islambad, Pakistan， 2008: 18.
［23］MEHNERT A J, CROSS J M, SMITH C L. Thermo graphic imaging: segmentation of the subcutaneous vascular network of the back of the hand［R］. Perth, Australia: Edith Cowan University, Australian Institute of Security and Applied Technology, 1993.
［24］LIN C L, FAN K C. Biometric verification using thermal images of palmdorsa vein patterns［J］. IEEE Transactions on Circuits and Systems for Video Technology, 2004, 14(2): 199213.
［25］GODIK E E, GULYAEV Y V. Functional imaging of the human body［J］. Engineering in Medicine and Biology Magazine, 1991, 10(4): 2129.
［26］KONO M, UEKI H, UMEMURA S I. Nearinfrared finger vein patterns for personal identification［J］. Appl Opt, 2002, 41(35): 74297436.
［27］LEE J S. Digital image enhancement and noise filtering by use of local statistics［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1980,2(2): 165168.
?［28］MUNTEANU C, ROSA A. Towards automatic image enhancement using genetic algorithms［C］//Proceedings of the Congress on Evolutionary Computation 2000.La Jolla, California, USA， 2000: 1542.
［29］YU Chengbo, QIN Huafeng, CUI Yanzhe, HU Xiaoqian. Fingervein image recognition combining modified Hausdorff distance with minutiae feature matching［J］. Interdisciplinary Sciences: Computational Life Sciences, 2009(1): 280289.
［30］HIGHNAM R, BRADY M. Modelbased image enhancement of far infrared images［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(4): 410415.
［31］GILBOA G, SOCHEN N, ZEEVI Y Y. Image enhancement and denoising by complex diffusion processes［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(8): 10201036.
［32］GONZALEZ R C, WOODS R E. Digital image processing［M］. Boston, M, USA: AddisonWesley Longman Publishing Co, Inc, 2001: 1235.
［33］KO S J, LEE Y H. Center weighted median filters and their applications to image enhancement［J］. IEEE Transactions on Circuits and Systems, 1991, 38(9): 984993.
［34］HAMID M S, HARVEY N R, MARSHALL S. Genetic algorithm optimization of multidimensional grayscale soft morphological filters with applications in film archive restoration［J］. IEEE Transactions on Circuits and Systems for Video Technology, 2003, 13(5): 406416.
［35］HARVEY N R, MARSHALL S. The use of genetic algorithms in morphological filter design［J］. Signal Processing: Image Communication, 1996, 8(17): 5571.
［36］QUINTANA M I, POLI R, CLARIDGE E. On two approaches to image processing algorithm design for binary images using GP［J］//Lecture Notes in Computer Science, 2003, 2（1）: 422431.
［37］QUINTANA M I, POLI R, CLARIDGE E. Morphological algorithm design for binary images using genetic programming［J］. Genetic Programming and Evolvable Machines, 2006, 7(1): 81102.
［38］YODA I, YAMAMOTO K, YAMADA H. Automatic acquisition of hierarchical mathematical morphology procedures by genetic algorithms［J］. Image Vision Comput, 1999, 17(10): 749760.
［39］BHANU B, LEE S, MING J. Adaptive image segmentation using a genetic algorithm［J］. IEEE Transactions on Systems, Man, and Cybernetics, 1995, 25(12): 15431567.
［40］WANG Jun, TAN Ying. A novel genetic programming based morphological image analysis algorithm［C］//Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation. New York, NY, USA, 2010: 979980.
［41］WANG Jun, TAN Ying. Morphological image enhancement procedure design by using genetic programming［C］//Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation (GECCO 2011). Dublin, Ireland ACM, 2011: 14351442.
［42］IM S K, PARK H M, KIM S W, CHUNG C K, CHOI H S. Improved vein pattern extracting algorithm and its implementation［C］//International Conference on Consumer Electronics. Los Angles, USA， 2000: 23.
［43］IM S K , PARK H M, KIM Y W, HAN S C, KIM S W, KANG C H. A biometric identification system by extracting hand vein patterns［J］. Journal of the Korean Physical Society, 2001, 38: 268272.
［44］DING Yuhang, ZHUANG Dayan, WANG Kejun. A study of hand vein recognition method［C］//2005 IEEE International Conference Mechatronics and Automation. Ontario, Canada， 2005, 4: 21062110.
［45］WANG Lingyu, LEEDHAM G. Grayscale skeletonization of thermal vein patterns using the watershed algorithm in vein pattern biometrics［C］//2006 International Conference on Computational Intelligence and Security. Guangzhou, China， 2006, 2: 15971602.
［46］SOILLE P. Morphological image analysis: principles and applications［M］. New York，USA: SpringerVerlag, 2003: 6397.
［47］WANG Kejun, XIONG Xinyan, REN Zhen, FU Bin. Grayscale skeletonization of nearinfrared vein patterns using the improved watershed algorithm in vein pattern biometrics［C］//4th IEEE Conference on Industrial Electronics and Applications. Xi’an, China， 2009: 241245.
［48］MIURA N, NAGASAKA A, MIYATAKE T. Extraction of fingervein patterns using maximum curvature points in image profiles［J］. IEICE Transactions, 2005, 90D(8): 11851194.
［49］WANG Yunxin, LIU Tiegen, JIANG Junfeng. A multiresolution wavelet algorithm for hand vein pattern recognition［J］. Chin Opt Lett, 2008, 6(9): 657660.
［50］JAIN A K, DUIN R P W, MAO Jianchang. Statistical pattern recognition: a review［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(1): 437.
［51］WANG Lingyu, LEEDHAM Graham, CHO D S Y. Minutiae feature analysis for infrared hand vein pattern biometrics［J］. Pattern Recognition, 2008, 41(3): 920 929.
［52］WATANABE M, AUTHENTICATION P V. Advances in Biometrics［M］. London Springer， 2008: 7588.
［53］LIN Xirong, ZHUANG Bo, SU Xiaosheng, ZHOU Yunlong, BAO Guiqiu. Measurement and matching of human vein pattern characteristics［J］. Journal of Tsinghua University: Science and Technology, 2003, 43: 164167.
［54］HUTTENLOCHER D P, KLANDERMAN G A, RUCKLIDGE W J. Comparing images using the Hausdorff distance［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993, 15(9): 850863.
［55］HUTTENLOCHER D P, KEDEM K, KLEINBERG J M. On dynamic Voronoi diagrams and the minimum Hausdorff distance for point sets under Euclidean motion in the plane［C］//Proceedings of the Eighth Annual Symposium on Computational Geometry. New York, NY, USA, 1992: 110119.
［56］HUTTENLOCHERD P, KEDEM K, SHARIR M. The upper envelope of Voronoi surfaces and its applications［C］//Proceedings of the Seventh Annual Symposium on Computational Geometry. New York, NY, USA, 1991: 194203.
［57］SIM D G, KWON O K, PARK R H. Object matching algorithms using robust Hausdorff distance measures［J］. IEEE Transactions on Image Processing, 1999, 8: 425429.
［58］GAO Yongsheng, LEUNG M K H. Line segment Hausdorff distance on face matching［J］. Pattern Recognition, 2002, 35(2): 361371.
［59］DUBUISSON M P, JAIN A K. A modified Hausdorff distance for object matching［C］//12th International Conference on Pattern Recognition. Jerusalem , Israel, 1994, 1: 566568.
［60］LEE E C, PARK K R. Restoration method of skin scattering blurred vein image for finger vein recognition［J］. Electronics Letters, 2009, 45(21): 10741076.
［61］LIU Zhi, YIN Yilong, WANG Hongjun, SONG Shangling, LI Qingli. Finger vein recognition with manifold learning［J］. Journal of Network and Computer Applications, 2010, 33(3): 275282.
［62］SHIMOOKA T, SHIMIZU K. Artificial immune system for personal identifiction with finger vein pattern［J］//Lecture Notes in Computer Science， 2004, 3214: 511518. 
［63］IBG. Comparative biometric testing round 6  public report［EB/OL］.［20060518］.http://http://www.biometricgroup.com/reports/public/reports/CBT6 report.htm.
［64］TANG Darun, HUANG Beining, LI Rongfeng, LI Wenxin. A person retrieval solution using finger vein patterns［C］//2010 20th International Conference on Pattern Recognition (ICPR). Istanbul, Turkey, 2010: 13061309.
［65］PKUAILab. Recognition algorithm test engine［20110512］.［EB/OL］. http://rate.pku.edu.cn/. 
［66］HUANG Beining, DAI Yanggang, LI Rongfeng, TANG Darun, LI Wenxin. Fingervein authentication based on wide line detector and pattern normalization［C］//2010 20th International Conference on Pattern Recognition (ICPR). Istanbul, Turkey, 2010: 12691272
［67］ZHANG Zhongbo, MA Siliang, HAN Xiao. Multiscale feature extraction of fingervein patterns based on curvelets and local interconnection structure neural network［C］//Proceedings of the 18th International Conference on Pattern Recognition. Hong Kong, China， 2006, 4: 145148.
［68］WANG Jiangang, YAU Weiyun, SUWANDY A, SUNG E. Fusion of palmprint and palm vein images for person recognition based on ‘laplacianpalm’ feature［C］//IEEE Conference on Computer Vision and Pattern Recognition. Minneapolis, USA， 2007： 135141. 
［69］HAO Ying, SUN Zhenan, TAN Tieniu. Comparative studies on multispectral palm image fusion for biometrics［C］//Proceedings of the 8th Asian Conference on Computer vision. Berlin： SpringerVerlag, 2007: 1221.
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备注/Memo

收稿日期： 2011-09-15. 
基金项目：国家自然科学基金资助项目(60875080，61170057). 
通信作者：谭营. E-mail: ytan@pku.edu.cn.
作者简介：谭营，男，1964年生，教授，博士生导师，博士，IEEE Senior Member. International Journal of Artificial Intelligence编辑、IJSIR、IES Journal B、 Intelligent Devices and Systems、Journal of Computer Science and Systems Biology副编辑，International Journal of KES、Applied Mathematical and Computational Sciences编委、ICSI2010、2011、2012大会主席，ISACI2012和ISNN2008程序委员会主席.IEEE计算智能协会ETTC委员.主要研究方向为计算智能、群体智能、机器学习方法、智能信息处理、数据挖掘与模式识别等.主持国家“863”计划、国家自然科学基金、国际合作交流项目等科研项目30余项.获得2009年度国家自然科学二等奖.发表学术论文200余篇，获国家发明专利授权3项.
王军，男，1974年生，博士研究生，主要研究方向为图像处理、计算机视觉、遗传规划和生物识别.

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