Abstract
Iris recognition is a high-precision biometric identification technology with the advantages of uniqueness, stability, non-invasive. Iris image’s quality affect the performance of the recognition algorithms. The ease of use and robustness of the recognition system is also affected by the image acquisition method, so iris image acquisition plays an important role in the whole system. Based on the basic principles of iris image acquisition, this paper gives the current advances of the iris recognition system. Describes and analyzes the typical commercial products of iris image acquisition system, including the operating range, capture volume, illumination mode, etc.. According to the bottleneck of the current iris image acquisition and recognition system, major research issues in the area of iris image acquisition are presented and analyzed, such as the stand-off system, variety of illumination mode, etc. At last, gives the development trend and future work of the iris image acquisition system.
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References
Mansfield, T.: Kelly, et al.: Biometric Product Testing Final Report. CESG Contract X92A/4009309, Centre for Mathematics & Scientific Computing, National Physical Laboratory, Queen’s Road, Teddington, Middlesex TW11 0LW
Tan, T., Ma, L.: Iris Recognition: Recent Progress and Remaining Challenges. In: Proceedings of SPIE - The International Society for Optical Engineering, vol. 5404, pp. 183–194 (2004)
Daugman, J.: The Importance of Being Random: Statistical Principles of Iris Recognition. Pattern Recognition 36, 279–291 (2003)
Johnson, R.G.: Can iris patterns be used to identify people? In: Chemical and Laser Sciences Division LA-12331-PR, Los Alamos National Laboratory, Los Alamos, Calif. (1991)
Daugman, J.: High Confidence Visual Recognition of Persons by a Test of Statistical Independence. IEEE 15, 1148–1161 (1993)
Wildes, R., et al.: Machine-vision System for Iris Recognition. Machine Vision and Applications 9, 1–8 (1996)
Yuqing, H.: Key Techniques and Methods for Imaging Iris in Focus. In: International Conference on Pattern Recognition, vol. 4, pp. 557–561 (2006)
Hugo, P.: On the Feasibility of the Visible Wavelength, At-A-Distance and On-The-Move Iris Recognition. In: IEEE Workshop on Computational Intelligence in Biometrics, p. 7 (2009)
Vatsa, M., Singh, R., Ross, A., Noore, A.: Quality-based fusion for multichannel iris recognition. In: ICPR 2010, pp. 1314–1317 (2010)
James, R., et al.: Iris Recognition – Beyond One Meter. Part II (2009)
He, Y., Wang, Y., Tan, T.: Iris Image Capture System Design for Personal Identification. In: Li, S.Z., Lai, J.-H., Tan, T., Feng, G.-C., Wang, Y. (eds.) SINOBIOMETRICS 2004. LNCS, vol. 3338, pp. 539–545. Springer, Heidelberg (2004)
Chou, C.T., et al.: Non-Orthogonal View Iris Recognition System. IEEE Transactions on Circuits and Systems for Video Technology 20, 417–430 (2010)
Yuanbo, W., et al.: Design method of ARM based embedded iris recognition system. In: The International Society for Optical Engineering, September 26, vol. 6625, pp. 66251G-1-9 (2007)
Liu-Jimenez, J.R., et al.: Iris Biometrics for Embedded Systems. IEEE Transactions on Very Large Scale Integration Systems 19, 274–282 (2011)
Rakvic, R.N., et al.: Parallelizing Iris Recognition. IEEE Transactions on Information Forensics and Security 4, 812–823 (2009)
Xin, Z., Mei, X.: A Practical Design of Iris Recognition System Based on DSP. In: IHMSC 2009, vol. 1, pp. 66–70 (2009)
Jang, Y., et al.: A Novel Portable Iris Recognition System and Usability Evaluation. International Journal of Control, Automation, and Systems 8, 91–98 (2010)
Kang, et al.: A new multi-unit iris authentication based on quality assessment and score level fusion for mobile phones. Machine Vision and Applications 21, 541–553 (2010)
Petr, G., Jan, P., Pavel, M.: Iris Recognition on GPU with the Usage of Non-Negative Matrix Factorization. In: Proceedings 10th International Conference on Intelligent Systems Design and Applications (ISDA 2010), pp. 894–899 (2010)
Sowon, Y., et al.: Non-intrusive Iris Image Capturing System Using Light Stripe Projection and Pan-Tilt-Zoom Camera. In: CVPR 2007, pp. 2994–3000 (2007)
Matey, J.R., Hanna, K., et al.: Iris on the move: Acquisition of Images for Iris Recognition in Less Constrained Environments. Proceedings of the IEEE Col. 94(11), 1936–1947 (2006)
Faisal, B., Pablo, C.: Eagle-EyesTM: a system for iris recognition at a distance. In: THS 2008, pp. 426–431 (2008)
Wheeler, F.W., et al.: Stand-off Iris Recognition System. In: 2008 IEEE Second International Conference on Biometrics: Theory, Applications and Systems, pp. 7 (2008)
Jung, H.G., Jo, H.S., Park, K.R., Kim, J.: Coaxial optical structure for iris recognition from a distance. Optical Engineering 50, 053201 (2011)
Wenbo, D., Zhenan, S.T.: A design of iris recognition system at a distance. In: CJKPR, pp. 553–557 (2009)
Shreyas, V., Unni, P.: Long Range Iris Acquisition System for Stationary and Mobile Subjects. In: 2011 International Joint Conference on Biometrics, IJCB (2011)
De Villar, J.A., et al.: Design and Implementation of a Long Range Iris Recognition System. In: Conference Record - Asilomar Conference on Signals, Systems and Computers, pp. 1770–1773 (2010)
Imai, F.H.: Preliminary Experiment for Spectral Reflectance Estimation of Human Iris using a Digital Camera. Munsell Color Science Laboratory Technical Report (2000)
Boyce, et al.: Multispectral Iris Analysis: A Preliminary Study. In: IEEE Computer Society Workshop on Biometrics at the Computer Vision and Pattern Recognition Conference (2006)
Ngo, H.T., Ives, R.W., et al.: Design and Implementation of a Multispectral IrisCapture System. In: 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers, pp. 380–384 (2009)
Yazhuo, G., David, Z., Pengfei, S., Jingqi, Y.: High-Speed Multispectral Iris Capture System Design. IEEE (2012)
Ross, R., et al.: Exploring multispectral iris recognition beyond 900nm. In: IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems (2009)
Grabowski, K., et al.: Iris Structure Acquisition Method. In: 16th International Conference of Integrated Circuit and Systems (MIXDES 2009), pp. 640–643, 25–27 (2009)
Hugo, P.: On the Feasibility of the Visible Wavelength, At-A-Distance and On-The-Move. Iris Recognition. In: 2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications (2009)
Kelly, N., Smith, V., et al.: Extended Evaluation of Simulated Wavefront Coding Technology in Iris Recognition. In: BTAS 2007, pp. 316–322 (2007)
Narayanswamy, et al: Iris Recognition at a Distance with Expanded Imaging. In: The International Society for Optical Engineering, vol. 6202, pp. 62020G-1-12, 17 (2006)
Boddeti, V.N.: Extended-Depth-of-Field Iris Recognition Using Unrestored Wavefront-Coded Imagery. IEEE Transactions on Systems, Man and Cybernetics, Part A (Systems and Humans) 40, 495–508 (2010)
Kang, J.-S.: Mobile iris recognition systems: An emerging biometric technology. International Journal of Imaging Systems and Technology 19, 323–331 (2009)
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Liu, Y., He, Y., Gan, C., Zhu, J., Li, L. (2012). A Review of Advances in Iris Image Acquisition System. In: Zheng, WS., Sun, Z., Wang, Y., Chen, X., Yuen, P.C., Lai, J. (eds) Biometric Recognition. CCBR 2012. Lecture Notes in Computer Science, vol 7701. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35136-5_26
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DOI: https://doi.org/10.1007/978-3-642-35136-5_26
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