Optical system design of fingerprint and finger veinimages compound acquisition

Ji Zijuan; Bao Jiaqi; Yin Juanjuan

doi:10.5768/JAO201738.0502005

Journal of Applied Optics > 2017 > 38(5): 770-776. > DOI: 10.5768/JAO201738.0502005

Ji Zijuan, Bao Jiaqi, Yin Juanjuan. Optical system design of fingerprint and finger veinimages compound acquisition[J]. Journal of Applied Optics, 2017, 38(5): 770-776. DOI: 10.5768/JAO201738.0502005

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Optical system design of fingerprint and finger veinimages compound acquisition

1.
Hubei University of Education, Wuhan 430205, China
2.
Wenhua College, Wuhan 430074, China

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Received Date: March 26, 2017
Revised Date: April 11, 2017

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Abstract

Abstract

Due to the biological multi-mode identification technology, an optical system for compound acquisition of fingerprint and finger vein multiple images was designed and described.The optic camera for collecting fingerprint and finger vein images contains respectively 3 and 12 spherical lenses, which works at 650 nm and 850 nm wavelength with a 640×480 CCD and a 640×512 uncooled infrared(IR)detector as the imaging devices, respectively.With the aid of Zemax software, the optical system was designed and optimized to cause a good imaging quality. Image quality evaluation results show that the modulation transfer function(MTF)value of the fingerprint imaging lens is above 0.6 at 67 lp/mm, while the finger vein imaging lens is above 0.8 at 30 lp/mm.The view field spots'root-mean-square (RMS) radii of the 2 lenses are both much smaller than the detectors'pixel size, which are close to the diffraction limit, and the distortions are both less than 0.5%.Experiments prove that images acquired by this optical system have the merits of fine image quality and high resolution.
- fingerprint image,
- finger vein,
- image acquisition,
- optical design

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References (18)

References

[1]	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. http://cdmd.cnki.com.cn/Article/CDMD-10183-2008126512.htm Li Xueyan. Study of multi biometrics system based on fingerprint and finger vein[D]. Changchun: Jilin University, 2008. http://cdmd.cnki.com.cn/Article/CDMD-10183-2008126512.htm
[2]	Mulyono D, Jinn H S. A study of finger vein biometric for personal identification[C]//IEEE, International Symposium on Biometrics and Security Technologies. US: IEEE, 2008: 1-8. https://www.researchgate.net/publication/4343630_A_study_of_finger_vein_biometric_for_personal_identification
[3]	Hashimoto J. Finger vein authentication technology and its future[C]//IEEE, Symposium on Vlsi Circuits.US: IEEE, 2006: 5-8. https://www.researchgate.net/publication/224650180_Finger_Vein_Authentication_Technology_and_Its_Future
[4]	Huang B, Dai Y, Li R, et al. Finger-vein authentication based on wide line detector and pattern normalization[C]//IEEE, Pattern Recognition, International Conference on.US: IEEE, 2010: 1269-1272. https://www.researchgate.net/publication/220932128_Finger-Vein_Authentication_Based_on_Wide_Line_Detector_and_Pattern_Normalization
[5]	沈小丰, 李小贝.便携式指纹识别系统的设计[J].自动化技术与应用, 2005, 24(4):55-58. doi: 10.3969/j.issn.1003-7241.2005.04.019 Shen Xiaofeng, Li Xiaobei. A portable fingerprint identification system[J]. Instrumentation and Measurement, 2005, 24(4):55-58. doi: 10.3969/j.issn.1003-7241.2005.04.019
[6]	刘佳子.指纹识别与指静脉识别的融合技术的研究[D].长春: 吉林大学, 2009. http://cdmd.cnki.com.cn/Article/CDMD-10183-2009094245.htm Liu Jiazi. The study of fusion technology based on fingerprint and vein image[D]. Changchun: Jilin University, 2009. http://cdmd.cnki.com.cn/Article/CDMD-10183-2009094245.htm
[7]	Yang J, Yan M. An improved method for finger-vein image enhancement[C]//IEEE, International Conference on Signal Processing. US: IEEE, 2010: 1706-1709. https://www.researchgate.net/publication/251973130_An_improved_method_for_finger-vein_image_enhancement
[8]	王科俊, 马慧, 管凤旭, 等.基于图像采集质量评价的指纹与指静脉双模态识别决策级融合方法[J].模式识别与人工智能, 2012, 25(4):669-675. doi: 10.3969/j.issn.1003-6059.2012.04.016 Wang Kejun, Ma Hui, Guan Fengxun, et al. Dual-modal decision fusion for fingerprint and finger vein recognition based on image capture quality evaluation[J]. PR&AI, 2012, 25(4):669-675. doi: 10.3969/j.issn.1003-6059.2012.04.016
[9]	朱鹏飞, 林尊琪, 叶常君, 等.超半球型浸没透镜在指纹图像采集中的应用[J].光学技术, 2001, 27(5):391-392. doi: 10.3321/j.issn:1002-1582.2001.05.018 Zhu Pengfei, Lin Zunqi, Ye Changjun, et al. Hyperhemispherical submersed lens application in fingerprint images collection[J]. Optical Technique, 2001, 27(5):391-392. doi: 10.3321/j.issn:1002-1582.2001.05.018
[10]	陈奇夆, 许汉忠, 林筱芳, 等.具非对称非球面镜之指纹辨识器的光学设计[J].电子器件, 2008, 31(1):329-333. doi: 10.3969/j.issn.1005-9490.2008.01.078 Chen Chifeng, Hsu Hanchung, Lin Hsiaofang, et al. Optical design for fingerprint identification with a symmetrical aspheric lens[J]. Chinese Journal of Electron Devices, 2008, 31(1):329-333. doi: 10.3969/j.issn.1005-9490.2008.01.078
[11]	孔达.融合指纹和手指静脉的多模态生物识别系统的光学系统设计[D].长春: 长春理工大学, 2014. http://www.wanfangdata.com.cn/details/detail.do?_type=degree&id=Y2528687 Kong Da. Optical system design of multi biometrics system based on fingerprint and finger vein[D]. Changchun: Changchun University of Science and Technology, 2014. http://www.wanfangdata.com.cn/details/detail.do?_type=degree&id=Y2528687
[12]	吉紫娟, 包佳祺.用于手指静脉识别的光学系统[J].湖北教育学院学报, 2007, 24(2):40-42. doi: 10.3969/j.issn.1674-344X.2007.02.016 Ji Zijuan, Bao Jiaqi. Optical system for finger vein recognition[J]. Journal of Hubei University of Education, 2007, 24(2):40-42. doi: 10.3969/j.issn.1674-344X.2007.02.016
[13]	吉紫娟, 包佳祺.指纹识别系统的光学设计[J].湖北第二师范学院学报, 2008, 25(2):69-71. doi: 10.3969/j.issn.1674-344X.2008.02.027 Ji Zijuan, Bao Jiaqi. Optical design of fingerprint identification system[J]. Journal of Hubei University of Education, 2008, 25(2):69-71. doi: 10.3969/j.issn.1674-344X.2008.02.027
[14]	吉紫娟, 包佳祺.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. doi: 10.3969/j.issn.1674-344X.2009.02.028 Ji Zijuan, Bao Jiaqi. Image acquisition of the fingerprint and finger vein complex identification system[J]. Journal of Hubei University of Education, 2009, 26(2):93-94. doi: 10.3969/j.issn.1674-344X.2009.02.028
[15]	朱海斌, 邵毓, 张远健.可见光/红外双视场全景式航空侦查相机光学系统设计[J].应用光学, 2017, 38(1):7-11. http://www.yygx.net/CN/abstract/abstract10885.shtml Zhu Haibin, Shao Yu, Zhang Yuanjian.Optical system design of visible/infrared and double-FOV panoramic aerial camera[J]. Journal of Applied Optics, 2017, 38(1):7-11. http://www.yygx.net/CN/abstract/abstract10885.shtml
[16]	Dai Y, Huang B, Li W, et al. A method for capturing the finger-vein image using nonuniform intensity infrared light[C]//Image and Signal Processing, CISP '08. Washington, USA: IEEE, 2008: 501-505. https://www.researchgate.net/publication/4353928_A_Method_for_Capturing_the_Finger-Vein_Image_Using_Nonuniform_Intensity_Infrared_Light?ev=auth_pub
[17]	刘松涛, 周晓东.可见光电视/红外成像复合寻的制导技术[J].应用光学, 2006, 27(6):467-475 doi: 10.3969/j.issn.1002-2082.2006.06.002 Liu Songtao, Zhou Xiaodong. Visual TV/IR imaging compound homing guidance technigue[J]. Journal of Applied Optics, 2006, 27(6):467-475. doi: 10.3969/j.issn.1002-2082.2006.06.002
[18]	Fischer R E, Galeb B T. Optical system design[M].New York:Mc GRAW Hill, 2000.

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Optical system design of fingerprint and finger veinimages compound acquisition