[1] Jain A K, Ross A, Pankanti S. Biometrics: a tool for information security[J]. IEEE Transactions on Information Forensics and Security, 2006, 1(2): 125-143.

[2] 王曙光. 指纹识别技术综述[J]. 信息安全研究, 2016, 2(4): 343-355.

    Wang S G. A survey of fingerprint recognition technology[J]. Journal of Information Security Research, 2016, 2(4): 343-355.

[3] 景晨凯, 宋涛, 庄雷, 等. 基于深度卷积神经网络的人脸识别技术综述[J]. 计算机应用与软件, 2018, 35(1): 223-231.

    Jing C K, Song T, Zhuang L, et al. A survey of face recognition technology based on deep convolutional neural networks[J]. Computer Applications and Software, 2018, 35(1): 223-231.

[4] 韩民, 彭玉华, 张顺利, 等. 基于经验模态分解的虹膜识别[J]. 光学学报, 2010, 30(2): 364-368.

    Han M, Peng Y H, Zhang S L, et al. Iris recognition based on empirical mode decomposition[J]. Acta Optica Sinica, 2010, 30(2): 364-368.

[5] 陶志勇, 胡亚磊, 林森. 基于改进AlexNet的手指静脉识别[J]. 激光与光电子学进展, 2020, 57(8): 081005.

    Tao Z Y, Hu Y L, Lin S. Finger vein recognition based on improved AlexNet[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081005.

[6] Jain T, Kumar R. A study of vein recognition system[J]. Acta Informatica Malaysia, 2019, 3(1): 13-15.

[7] Ma H, Zhang S Y. Contactless finger-vein verification based on oriented elements feature[J]. Infrared Physics & Technology, 2019, 97: 149-155.

[8] 林喜荣, 庄波, 苏晓生, 等. 人体手背血管图像的特征提取及匹配[J]. 清华大学学报(自然科学版), 2003, 43(2): 164-167.

    Lin X R, Zhuang B, Su X S, et al. Measurement and matching of human vein pattern characteristics[J]. Journal of Tsinghua University (Science and Technology), 2003, 43(2): 164-167.

[9] Hong H G, Lee M B, Park K R. Convolutional neural network-based finger-vein recognition using NIR image sensors[J]. Sensors (Basel, Switzerland), 2017, 17(6): 1297-1232.

[10] Ladoux PO, RosenbergerC, DorizziB. Palm vein verification system based on SIFT matching[M]. Heidelberg: Springer, 2009: 1290- 1298.

[11] 王一丁, 曹希. 利用手背静脉特征进行身份识别的研究[J]. 高技术通讯, 2014, 24(6): 632-642.

    Wang Y D, Cao X. A review of the personnel identification using hand-dorsa vein recognition[J]. Chinese High Technology Letters, 2014, 24(6): 632-642.

[12] 刘超, 王容川, 许晓伟, 等. 基于改进LBP的手指静脉识别算法[J]. 计算机仿真, 2019, 36(1): 381-386.

    Liu C, Wang R C, Xu X W, et al. Finger vein recognition algorithm based on improved LBP[J]. Computer Simulation, 2019, 36(1): 381-386.

[13] 周栋, 曹杰, 姜雅慧, 等. 基于主成分分析的散斑设计方法[J]. 激光与光电子学进展, 2020, 57(20): 201104.

    Zhou D, Cao J, Jiang Y H, et al. Speckle design method based on principal component analysis[J]. Laser & Optoelectronics Progress, 2020, 57(20): 201104.

[14] 刘娜, 魏秀丽, 高闽光, 等. 基于衰减全反射-傅里叶变换红外光谱技术的气溶胶中水溶性无机离子定量分析方法研究[J]. 光谱学与光谱分析, 2015, 35(12): 3364-3368.

    Liu N, Wei X L, Gao M G, et al. A quantitative analysis method of water-soluble inorganic ions with ATR-FTIR spectroscopy[J]. Spectroscopy and Spectral Analysis, 2015, 35(12): 3364-3368.

[15] 马娟娟, 潘泉, 梁彦, 等. 基于改进Grassberger熵随机森林分类器的目标检测[J]. 中国激光, 2019, 46(7): 0704011.

    Ma J J, Pan Q, Liang Y, et al. Object detection based on improved Grassberger entropy random forest classifier[J]. Chinese Journal of Lasers, 2019, 46(7): 0704011.

[16] 徐天扬, 杨娟, 孙晓荣, 等. 中红外光谱法结合支持向量机快速鉴别蜂蜜品种[J]. 激光与光电子学进展, 2018, 55(6): 063003.

    Xu T Y, Yang J, Sun X R, et al. Mid-infrared spectroscopy analysis combined with support vector machine for rapid discrimination of botanical origin of honey[J]. Laser & Optoelectronics Progress, 2018, 55(6): 063003.

[17] 王一丁. 手背静脉身份识别技术[M]. 北京: 科学出版社, 2015: 191- 210.

    Wang YD. Identification technology of dorsal hand vein[M]. Beijing: Science Press, 2015: 191- 210.

[18] Chen R, Lin X R, Ding T H. Liveness detection for iris recognition using multispectral images[J]. Pattern Recognition Letters, 2012, 33(12): 1513-1519.

[19] Marasco E, Sansone C. Combining perspiration- and morphology-based static features for fingerprint liveness detection[J]. Pattern Recognition Letters, 2012, 33(9): 1148-1156.

[20] 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): 1211002.

    Wu W, Yuan W Q, Lin S, et al. Selection of typical wavelength for palm vein recognition[J]. Acta Optica Sinica, 2012, 32(12): 1211002.

[21] 郑咏梅, 张铁强, 张军, 等. 平滑、导数、基线校正对近红外光谱PLS定量分析的影响研究[J]. 光谱学与光谱分析, 2004, 24(12): 1546-1548.

    Zheng Y M, Zhang T Q, Zhang J, et al. Influence of smooth, 1st derivative and baseline correction on the near-infrared spectrum analysis with PLS[J]. Spectroscopy and Spectral Analysis, 2004, 24(12): 1546-1548.

[22] Yin Y.Method and device for identity authentication: US10614201[P].2020-04-07.

[23] Zhong D X, Du X F, Zhong K C. Decade progress of palmprint recognition: a brief survey[J]. Neurocomputing, 2019, 328: 16-28.

[24] 刘铁根, 王云新, 李秀艳, 等. 基于手背静脉的生物特征识别系统[J]. 光学学报, 2009, 29(12): 3339-3343.

    Liu T G, Wang Y X, Li X Y, et al. Biometric recognition system based on hand vein pattern[J]. Acta Optica Sinica, 2009, 29(12): 3339-3343.

[25] Castro-Ortega R, Toxqui-Quitl C, Padilla-Vivanco A, et al. Infrared image acquisition system for vein pattern analysis[J]. Proceedings of SPIE, 2016, 9947: 99471I.

[26] Qian X M, Hua X S, Chen P, et al. PLBP: an effective local binary patterns texture descriptor with pyramid representation[J]. Pattern Recognition, 2011, 44(10/11): 2502-2515.

[27] 袁臣虎, 刘铁根, 李秀艳. 基于kNN-SVM的手背静脉虹膜和指纹融合身份识别[J]. 光电工程, 2013, 40(4): 101-105.

    Yuan C H, Liu T G, Li X Y. Identification algorithm for fusion of hand vein iris and fingerprint based on kNN-SVM[J]. Opto-Electronic Engineering, 2013, 40(4): 101-105.