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手掌静脉图像识别技术综述

DOI: 10.11834/jig.20131001

Keywords: 模式识别,生物特征识别,手掌静脉图像识别,特征提取

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Abstract:

人体的手掌静脉具有唯一性、稳定性,隐藏在表皮下,结构复杂很难被复制,手掌静脉图像难以窃取拍摄,这些使得手掌静脉成为一种高安全性的生物特征。作为生物特征识别领域的前沿课题,手掌静脉图像识别技术以其高安全性等优势拥有着广泛的应用前景,成为近几年的研究热点。从手掌静脉图像识别技术的原理入手,综述了手掌静脉图像识别的4个阶段,图像采集、图像预处理、特征提取及匹配。根据特征提取方法不同,将掌脉图像识别方法分为基于结构特征的方法、基于纹理特征的方法和基于子空间的3类方法。最后,对掌脉图像识别技术的难点进行了总结,对发展趋势进行了展望。

References

[1]  Jain A K, Bolle R, Pankanti S. Biometrics: Personal Identification in Networked Society[M]. Norwell, Massachusetts, USA: Kluwer Academic Publishers, 1999:1-16.
[2]  Yuan W Q, Ke L,Bai Y. Biometric Identification Technology[M].Beijing:Science Press,2009.[苑玮琦,柯丽,白云.生物特征识别技术[M].北京:科学出版社, 2009.]
[3]  Wang L, Leedham G. Near-and far-infrared imaging for vein pattern biometrics[C]//Proceedings of the Video and Signal Based Surveillance. Sydney: IEEE Press, 2006:52-57.[DOI:10.1109/AVSS.2006.80]
[4]  Watanabe M. Palm Vein Authentication in Advances in Biometrics[M]. Heidelberg, Germany:Springer-Verlag, 2008:75-88.
[5]  Zhang D, Guo Z, Lu G, et al. Online joint palmprint and palmvein verification[J]. Expert Systems with Applications, 2011, 38(3):2621-2631.[DOI: 10.1016/j.eswa.2010.08.052]
[6]  Zhang D, Kong W K, You J, et al. Online palmprint identification[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(9):1041-1050.[DOI: 10.1109/TPAMI.2003.1227981]
[7]  Li C Y, Lu G M, Li W. 3D palmprint recognition based on surface curvature and RLDA[J].Journal of Image and Graphics, 2011,16(5):807-812.[李春燕,卢光明,黎伟.基于曲面曲率和RLDA 的 3D 掌纹识别方法[J]. 中国图象图形学报, 2011,16(5):807-812.]
[8]  Wang K J, Ma H, Li X F, et al. Finger vein pattern extraction method using oriented filtering technology[J].Journal of Image and Graphics, 2011,16(7):1206-1212.[王科俊, 马慧, 李雪峰,等.使用方向滤波技术的手指静脉纹路提取方法[J]. 中国图象图形学报, 2011, 16(7): 1206-1212.]
[9]  Song W, Kim T, Kim H C, et al. A finger-vein verification system using mean curvature[J]. Pattern Recognition Letters, 2011, 32(11): 1541-1547.[DOI: 10.1016/j. patrec. 2011. 04. 021]
[10]  Bian W X, Xu D Q. Composite thinning algorithm for fingerprint image[J].Journal of Image and Graphics, 2011, 16(6): 1015-1021.[卞维新,徐德琴. 指纹图像细化的复合式算法[J]. 中国图象图形学报, 2011, 16(6): 1015-1021.]
[11]  Jain A, Hong L, Bolle R. On-line fingerprint verification[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 1997, 19(4): 302-314.[DOI:10.1109/34.587996]
[12]  Wang L Y, Leedham G, Cho S Y D. Minutiae feature analysis for infrared hand vein pattern biometrics[J]. Pattern Recognition, 2008, 41(3): 920-929.[DOI: 10.1016/j. patcog. 2007.07.012]
[13]  Wang L Y, Leedham G. A thermal hand vein pattern verification system[J]. Pattern Recognition and Image Analysis, 2005, 3687:58-65.[DOI: 10.1007/11552499_7]
[14]  Wang S M,Ye J H, Deng T, et al.Two-dimensional dual-tree complex wavelet transform uncertainty weighted fusion in face recognition[J].Journal of Image and Graphics, 2012, 17(8): 995-1001.[王仕民, 叶继华, 邓涛, 等. 2 维双树复小波不确定度加权融合的人脸识别[J]. 中国图象图形学报, 2012, 17(8): 995-1001.]
[15]  Zhao W, Chellappa R, Phillips P J, et al. Face recognition: a literature survey[J]. ACM Computing Surveys, 2003, 35(4): 399-458.[DOI: 10.1145/954339.954342]
[16]  Bowyer W, Hollingsworth K, Flynn P J. Image understanding for iris biometrics: a survey[J]. Computer Vision and Image Understanding, 2008, 110(2): 281-307.[DOI: 10.1016/j. cviu. 2007.08.005]
[17]  Wang X H,Dong Q K. An kind of iris recognition algorithm based on 2D-PLDA and wavelet subband[J].Journal of Image and Graphics, 2011, 16(1)59-65.[王相海, 董钦科.一种基于 2D-PLDA 和小波子带的虹膜识别算法[J].中国图象图形学报, 2011, 16(1):59-65.]
[18]  Yang F D, Lv Y. Off-line signature verification based on combination of direction feature and grid feature[J]. Journal of Image and Graphics, 2012, 17(6): 717-721.[杨丹凤, 吕岳. 方向特征和网格特征融合的离线签名鉴别[J]. 中国图象图形学报, 2012, 17(6): 717-721.]
[19]  Jain A K, Griess F D, Connell S D. On-line signature verification[J]. Pattern Recognition, 2002, 35(12): 2963-2972.[DOI: S0031-3203(01)00240-0]
[20]  Fuksis R, Greitans M, Nikisins O, et al. Infrared imaging system for analysis of blood vessel structure[J]. Electronics and Electrical Engineering, 2010,1(97): 45-48.
[21]  更多...
[22]  Li Q, Zeng Y, Peng X, et al. Curvelet-based palm vein biome-tric recognition[J]. Chinese Optics Letters, 2010, 8(6): 577-579.[DOI: 1671-7694/2010/060577-03]
[23]  Zhang H, Hu D. A palm vein recognition system[C]//Proceedings of the Intelligent Computation Technology and Automation. Changsha: IEEE Press, 2010:285-288.[DOI: 10.1109/ICICTA.2010.425]
[24]  Qiu X G, Zhang D P,Liu J, et al.Palm vein patterns extraction based on adaptive region-growing algorithm[J].Computer Engineering and Application, 2007,43(33): 230-233.[裘旭光,张大鹏,刘晶,等.基于自适应区域增长算法获取手部静脉模式[J].计算机工程与应用, 2007,43(33): 230-233.] [DOI: 1002-8331(2007)33-0230-04]
[25]  Zhou Y, Kumar A. Human identification using palm-vein images[J]. IEEE Transactions on Information Forensics and Security, 2011, 6(4): 1259-1274.[DOI: 10.1109/TIFS. 2011. 2158423]
[26]  Han W Y, Lee J C. Palm vein recognition using adaptive gabor filter[J]. Expert Systems with Applications, 2012, 39(18): 13225-13234.[DOI: http://dx.doi.org/10.1016/j. eswa. 2012. 05.079]
[27]  Ladoux P O, Rosenberger C, Dorizzi B. Palm vein verification system based on SIFT matching[J]. Advances in Biometrics, 2009, 5558:1290-1298.[DOI: 10.1007/978-3-642-01793-3_130]
[28]  Sasaki S, Kawai H, Wakabayshi A. Business expansion of palm vein pattern authentication technology[J]. Fujitsu Sci. Tech. J., 2005, 41(3): 341-347.
[29]  Wang R. Research on palm-vein personal identification[D]. Harbin: Harbin Institute of Technology, 2008.[汪锐.手掌静脉识别研究[D].哈尔滨:哈尔滨工业大学, 2008.]
[30]  Cui J J, Wang L H, Chen D L, et al. On the vein image capturing system based on near-infrared image quality assessment[J]. Journal of Northeastern University:Natural Science, 2009, 30(8): 1099-1102.[崔建江,王立辉,陈大力, 等. 基于近红外图像质量评价的静脉图像采集系统[J]. 东北大学学报: 自然科学版, 2009, 30(8): 1099-1102.] [DOI: 1005-3026(2009)08-1099-04]
[31]  Wan W B.Study on palm-vein image capture and recognition system.[D]. Shenyang: Shenyang University of Technology, 2009.[万文博.掌脉图像采集与识别装置的研究[D].沈阳:沈阳工业大学, 2009.]
[32]  Yuan W Q, Yang G T, Li W. Research on palm vein acquisition system based on wavelength choice[J].Laser & Infrared, 2011, 41(2): 234-239.[苑玮琦,杨国天,李威. 基于波长选择的手掌静脉采集系统研究[J]. 激光与红外, 2011, 41(2): 234-239.] [DOI: 1001-5078(2011)02-0234-06]
[33]  Zuo T D. Design and implementation of palm vein recognition system[D]. Changsha: National University of Defense Technology, 2009.[左铁东.手掌静脉识别系统的设计与实现[D].长沙:国防科学技术大学, 2009.]
[34]  Simpson R, Laufer J G, Kohl M, et al. Near-infrared optical properties of ex-vivo human skin and subcutaneous tissues using reflectance and transmittance measurements[C]//Proceedings of the BiOS\'97. San Jose, CA: International Society for Optics and Photonics,1997: 307-313.[DOI: 10.1117/12.280259]
[35]  Franceschini M A, Gratton E, Hueber D M, et al. Near-infrared absorption and scattering spectra of tissues in vivo[C]//The BiOS\'99 International Biomedical Optics Symposium. San Jose, CA: International Society for Optics and Photonics, 1999:526-531.[DOI: 10.1117/12.356854]
[36]  Wang J G, Yau W Y, Suwandy A, et al. Fusion of palmprint and palm vein images for person recognition based on "Laplacianpalm" representation[J].Pattern Recognition,2008,41(5):1514-1527.[DOI: 10.1016/j.patcog.2007.10.021]
[37]  Wang J G, Yau W Y, Suwandy A. Feature-level fusion of palmprint and palm vein for person identification based on a "junction point" representation[C]//Proceedings of the Image Processing.Singapore: IEEE Press, 2008:253-256.[DOI: 10. 1109/ICIP. 2008.4711739]
[38]  Zhang Y B, Li Q, You J, et al. Palm vein extraction and mat- ching for personal authentication[J]. Advances in Visual Information Systems, 2007: 154-164.[DOI: 10.1007/978-3-540-76414-4_16]
[39]  Wu W, Yuan W Q, Lin S, et al.Selection of typical wavelength for palm vein recognition.[J].Acta Optica Sinica, 2012, 32(12): 133-139.[吴微,苑玮琦,林森, 等. 手掌静脉识别典型波长选择[J].光学学报, 2012, 32(12): 133-139.] [DOI:10.3788/AOS201232.1211002]
[40]  Cong X G. Research on infrared imaging of subcutaneous veins[D]. Wuhan:Huazhong University of Science and Technology, 2007.[丛晓刚.皮下静脉红外成像技术的研究[D].武汉:华中科技大学, 2007.]
[41]  Yang G T. Research on palm vein acquisition and recognition system.[D]. Shenyang: Shenyang University of Technology, 2011.[杨国天. 手掌静脉图像采集与识别系统研究[D]. 沈阳:沈阳工业大学, 2011.]
[42]  Watanabe M, Endoh T, Shiohara M, et al. Palm vein authentication technology and its applications[C]//Proceedings of the Biometric Consortium Conference. Arlington,USA: IEEE Press, 2005: 19-21.
[43]  Zhang D, Guo Z, Lu G, et al. An online system of multispectral palmprint verification[J]. IEEE Transactions on Instrumentation and Measurement, 2010, 59(2): 480-490.[DOI: 10.1109/TIM.2009.2028772]
[44]  Hao Y, Sun Z, Tan T, et al. Multispectral palm image fusion for accurate contact-free palmprint recognition[C]//Proceedings of the Image Processing. San Diego, CA: IEEE Press, 2008:281-284.[DOI: 10.1109/ICIP.2008.4711746]
[45]  Chen H, Lu G, Wang R. A new palm vein matching method based on ICP algorithm[C]//Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human. Seoul, Korea: ACM,2009:1207-1211.[DOI: 10.1145/1655925.1656145]
[46]  Prasanalakshmi B, Kannammal A. Secure cryptosystem from palm vein biometrics in smart card[C]//Proceedings of the Computer and Automation Engineering. Singapore: IEEE Press,2010: 653-657.[DOI: 10.1109/ICCAE. 2010. 5451311]
[47]  Zhou Y, Kumar A. Contactless palm vein identification using multiple representations[C]//Proceedings of the 4th IEEE International Conference on Biometrics: Theory Applications and Systems. Washington, DC:IEEE Press,2010:1-6.[DOI: 10.1109/BTAS.2010.5634470]
[48]  Hao Y, Sun Z N, Tan T N, et al. Multispectral palm image fusion or accurate contact-free palmprint recognition[C]//Processding of the 15th Image Processing. San Diego, CA:IEEE Press, 2008:281-284.[DOI: 10.1109/BTAS.2010.5634470]
[49]  Michael G K O, Connie T, Hoe L S, et al. Design and implementation of a contactless palm vein recognition system[C]//The 2010 Symposium on Information and Communication Technology. Hanoi, Vietnam:ACM,2010:92-99.[DOI: 10.1145/1852611.1852630]
[50]  Michael G K O, Connie T, Jin T A B. Touch-less palm print biometrics: novel design and implementation[J]. Image and Vision Computing, 2008, 26(12): 1551-1560.[DOI: 10.1016/j.imavis.2008.06.010]
[51]  Wu W, Yuan W Q, Lin S, et al. Study of ROI selection and location for palm vein recognition[J].Journal of Optoelectronics?Laser, 2013, 24(1): 152-160.[吴微,苑玮琦,林森,等. 手掌静脉识别中感兴趣区域的选择与定位研究[J]. 光电子?激光, 2013, 24(1): 152-160.]
[52]  Pan M, Kang W X. Palm vein recognition based on three local invariant feature extraction algorithms[J]. Biometric Recognition, 2011, 7098:116-124.[DOI: 10.1007/978-3-642-25449-9_15]
[53]  Yang C, Chen J X, Li W. Palm vein features extraction based on median-length included angle chain[J]. Journal of Computer Applications, 2009, 29(11): 3048-3050.[杨闯, 陈家新, 黎蔚. 基于中值夹角链码的掌静脉特征提取[J]. 计算机应用, 2009, 29(11): 3048-3050.]
[54]  Michael G K O, Connie T, Jin A T B. A preliminary acclimatization study of a contactless biometrics using palm vein feature[C]//Proceedings of the 6th Industrial Electronics and Applications. Beijing: IEEE Press, 2011: 1022-1027.[DOI:10.1109/ICIEA.2011.5975737]
[55]  Lee J C. A novel biometric system based on palm vein image[J]. Pattern Recognition Letters, 2012, 33(12): 1520-1528.[DOI:10.1016/j.patrec.2012.04.007]
[56]  Mirmohamadsadeghi L, Drygajlo A. Palm vein recognition with local binary patterns and local derivative patterns[C]//Proceedings of the Biometrics. Washington DC:IEEE Press,2011:1-6.[DOI: 10.1109/IJCB.2011.6117804]
[57]  Greitans M, Pudzs M, Fuksis R. Palm vein biometrics based on infrared imaging and complex matched filtering[C]//Proceedings of the 12th ACM Workshop on Multimedia and Security. Roma, Italy:ACM, 2010: 101-106.
[58]  Wang J G, Yau W Y, Suwandy A, et al. Person recognition by fusing palmprint and palm vein images based on "laplacianpalm" representation[J]. Pattern Recognition, 2008, 41(5): 1514-1527.[DOI: 10.1016/j.patcog.2007.10.021]
[59]  Wu W, Yuan W Q, Guo J Y, et al. Contact-less palm vein recognition based on wavelet decomposition and partial least square[J]. Biometric Recognition,2012, 7701:176-183.[DOI: 10.1007/978-3-642-35136-5_22]
[60]  Lee E C, Park K R. Image restoration of skin scattering and optical blurring for finger vein recognition[J]. Optics and Lasers in Engineering, 2011, 49(7): 816-828.[DOI: 10.1016/j. optlaseng. 2011.03.004]
[61]  Li C, Chen P J, Chou C, et al. Quantitative measurements of blood vessels on human extremities by near-infrared (NIR)technique[C]//Proceedings of the 4th Kuala Lumpur International Conference on Biomedical Engineering. Seoul, Korea Springer,2008:674-678.[DOI: 10.1007/978-3-540-69139-6_168]
[62]  Zhang D, Lu G, Guo Z, et al. Method and Apparatus for Personal Identification Using Palmprint and Palm Vein:USA, US 8,229,178,B2[P]. 2012-07-24.
[63]  Toh K A, Eng H L, Choo Y S, et al. Identity verification through palm vein and crease texture[J]. Advances in Biometrics, 2005, 3832:546-553.[DOI: 10.1007/11608288_73]
[64]  Yuan W Q, Tang Y H. The driver authentication device based on the characteristics of palmprint and palm vein[C]//Proceedings of International Conference on the Hand-Based Biometrics. HongKong,China: IEEE Press,2011:1-5.[DOI: 10.1109/ICHB.2011.6094336]
[65]  Deepamalar M, Madheswaran M. An improved multimodal palm vein recognition system using shape and texture features[J]. International Journal of Computer Theory and Engineering, 2010, 2(3):436-444.
[66]  Zhang R. Research on multimodal handmetric recognition.[D]. Chongqing:Chongqing Institute of Technology,2008.[张睿.多模态手部生物特征识别技术的研究[D]. 重庆:重庆工学院, 2008.]
[67]  Gao E Y. Research on algorithm of hand vein recognition[D]. Harbin:Harbin Institute of Technology, 2010.[高恩颖.手部静脉识别算法研究[D]. 哈尔滨:哈尔滨工业大学, 2010.]

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