[1] 尹义龙, 杨公平, 杨璐. 指纹静脉识别研究综述［J］. 数据采集与处理, 2015, 30(5): 933-939

    Yin Y L, Yang G P, Yang L. Survey of finger vein recognition study［J］. Journal of Data Acquisition and Processing, 2015, 30(5): 933-939.

[2] Saropourian B. A new approach of finger print recognition based on neural network［C］. IEEE International Conference on Computer Science and Information Technology, 2009: 10868177.

[3] 林坤明. 基于指纹与指静脉的多模态身份识别方法研究［D］. 重庆： 重庆大学, 2012: 10-16.

    Lin K M. Research on multimode biometrics based on fingerprint and finger vein［D］. Chongqing: Chongqing University, 2012: 10-16.

[4] 李雪妍. 融合指纹和指静脉的多模态生物识别技术的研究［D］. 长春: 吉林大学, 2008: 68-88.

    Li X Y. Study of multibiometics system based on fingerprint and finger vein［D］. Changchun: Jilin University, 2008: 68-88.

[5] 徐天扬, 惠晓威, 林森. 基于小波灰度曲面的近红外手指静脉识别方法［J］. 激光与光电子学进展, 2016, 53(4): 041005.

    Xu T Y, Hui X W, Lin S. A near infrared finger vein recognition approach based on wavelet grayscale surface matching［J］. Laser & Optoelectronics Progress, 2016, 53(4): 041005.

[6] Yang J F, Zhang X. Feature-level fusion of fingerprint and finger-vein for personal identification［J］. Pattern Recognition Letters, 2012, 33(5): 623-628.

[7] 张宁宁. 非接触多模态手成像采集系统设计［D］. 沈阳: 沈阳工业大学, 2014: 33-40.

    Zhang N N. Acquisition and recognition system based multispectral palm［D］. Shenyang: Shenyang University of Technology, 2014: 33-40.

[8] 张春勃, 何笛. 基于指纹与指静脉的复合识别方法、装置及系统: 105678233 A［P］. 2015-12-30.

    Zhang C B, He D. Composite identification method, device and system based on fingerprint and finger vein: 105678233 A［P］. 2015-12-30.

[9] 吉紫娟. 指纹与静脉复合识别系统的图像采集［J］. 湖北第二师范学院学报, 2009, 26(2): 93-94, 128.

    Ji Z J. Collect images from fingerprint and vein compound recognition system［J］. Journal of Hubei University of Education, 2009, 26(2): 93-94, 128.

[10] 吉紫娟, 包佳祺, 尹娟娟. 指纹及手指静脉图像复合采集光学系统设计［J］. 应用光学, 2017, 38(5): 1-7.

    Ji Z J, Bao J Q, Yin J J. Optical system design of fingerprint and finger vein images compound acquisition［J］. Journalof Applied Optics, 2017, 38(5): 1-7.

[11] 印晓丽. 无梯形畸变指纹识别系统的光学设计［J］. 光电技术应用, 2013, 28(5): 15-18.

    Yin X L. Optical design of fingerprint identification system with non-trapezoidal distortion［J］. Electro-Optic Technology Application, 2013, 28(5): 15-18.

[12] 陈书剑, 萧泽新. 指纹图像采集光学系统的设计［J］. 光学技术, 2005, 31(s): 282-283, 287.

    Chen S J, Xiao Z X. Design of optical system of fingerprint image capture device［J］. Optical Technique,2005, 31(s): 282-283, 287.

[13] 江虹, 郭树旭. 红外光指静脉图像采集及其特征提取技术的研究［J］.光电子·激光, 2011, 22(9): 1431-1434.

    Jiang H, Guo S X. Study on near infrared finger vein image acquisition and vein pattern extraction［J］. Journal of Optoelectronics·Laser, 2011, 22(9): 1431-1434.

[14] 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.

[15] 邹晖. 基于手指静脉的身份识别系统［D］. 杭州: 浙江大学, 2016: 26-28.

    Zou H. An identification system based on finger vein patterns［D］. Hangzhou: Zhejiang University, 2016: 26-28.

[16] 陈刘奎. 人体手指静脉识别技术研究［D］. 武汉: 武汉大学, 2009: 38-40.

    Chen L K. Research on human finger vein recognition technology［D］. Wuhan: Wuhan University, 2009: 38-40.

[17] 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.

[18] 周路, 迟耀丹, 郭亮. 物方远心双指指纹采集光学系统设计［J］. 激光与光电子学进展, 2016, 53(10): 102201.

    Zhou L, Chi Y D, Guo L. Optical system design of object-telecentric dual finger fingerprint scanner［J］. Laser & Optoelectronics Progress, 2016, 53(10): 102201.

[19] 王琨. 大靶面大孔径日夜共焦高清成像光学系统设计［D］. 福州: 福建师范大学, 2016: 31-35.

    Wang K. Optical design of day and night con-focal high-definition imaging system with larger sensor and aperture［D］. Fuzhou: Fujian Normal University, 2016: 31-35.