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http://dx.doi.org/10.9717/kmms.2011.14.9.1125

Mobile Iris Recognition System Based on the Near Infrared Light Illuminator of Long Wavelength and Band Pass Filter and Performance Evaluations  

Cho, So-Ra (동국대학교 전자전기공학부)
Nam, Gi-Pyo (동국대학교 전자전기공학부)
Jeong, Dae-Sik (동국대학교 전자전기공학부)
Shin, Kwang-Yong (동국대학교 전자전기공학부)
Park, Kang-Ryoung (동국대학교 전자전기공학부)
Shin, Jae-Ho (동국대학교 전자전기공학부)
Publication Information
Journal of Korea Multimedia Society / v.14, no.9, 2011 , pp. 1125-1137 More about this Journal
Abstract
Recently, there have been previous research about the iris recognition in mobile device to increase portability, whose accuracy is affected by the quality of iris image. Iris image is affected by illumination environment during the image acquisition. The existing system has high accuracy in indoor environment. However the accuracy is degraded in outdoor environment, because the gray levels of iris patterns in image are changed, and ghost and eyelash shading regions are produced by the sunlight of various wavelengths into iris region. To overcome these problems, we propose new mobile iris camera system which uses the near-infrared (NIR) light illuminator of 850 nm and band pass filter (BPF) of 850 nm. To measure the performance of the proposed system, we compared it to the existing one with the iris images captured in indoor and outdoor sunlight environments in terms of the equal error rates (EER) based on false acceptance rate (FAR) and false rejection rate (FRR). The experimental result showed that the proposed system had the lower EERs than those of previous system by 0.96% (with frontal light in indoors), 4.94% (with frontal light in outdoor), 9.24% (with side light in outdoor), and 7% (with back light in outdoor), respectively.
Keywords
Iris Recognition; NIR Light Illumination; Iris Camera System;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 H. V. Nguyen and Hakil Kim, "Robust Iris Segmentation via Simple Circular and Linear Filters," Journal of Electronic Imaging, Vol. 17, No.4, pp. 043027-1-043027-8, 2008.   DOI   ScienceOn
2 신광용, 강병준, 박강령, 신재호, "다중 다층 퍼셉트론을 이용한 저해상도 홍채 영상의 고해상도 복원 연구," 멀티미디어학회 논문지, 제13권, 제 3호, pp. 438-456, 2010.
3 장영균, 강병준, 박강령, "홍채 인식을 위한 포물 허프 변환 기반 눈꺼풀 영역 검출 알고리즘," 대한전자공학회 논문지, 제44권 SP편 제1호, pp. 94-104, 2007.
4 B. J. Kang and K. R. Park, "A Robust Eyelash Detection Based on Iris Focus Assessment," Pattern Recognition Letters, Vol.28, Issue 13, pp. 1630-1639, 2007.   DOI   ScienceOn
5 J. Daugman, "New Methods in Iris Recognition," IEEE Transactions on Systems, Man, and Cybernatics - Part B, Vol.37, No.5, pp. 1167-1175, 2007.
6 Q.-C. Tian, Q. Pan, Y.-M. Cheng, and Q.-X. Gao, "Fast Algorithm and Application of Hough Transform in Iris Segmentation," Proceedings of the International Conference on Machine Learning and Cybernatics, Vol.7, pp. 3977-3980, 2004.
7 Hyun-Ae Park and Kang Ryoung Park, "Iris Recognition Based on Score Level Fusion by Using SVM," Pattern Recognition Letters, Vol.28, Issue 15, pp. 2019-2028, 2007.   DOI   ScienceOn
8 Gi Pyo Nam, Byung Jun Kang, and Kang Ryoung Park, "Robustness of Face Recognition to Variations of Illumination on Mobile Devices Based on SVM," KSI I Transactions on Internet and Information Systems, Vol.4, No.1, pp. 25-44, 2010.
9 N. K. Ratha and V. Govindaraju, Advances in Biometrics: Sensors, Algorithms and System, Springer, 2008.
10 Kwang Yong Shin, Gi Pyo Nam, Dae Sik Jeong, Dalho Cho, Byung Jun Kang, Kang Ryoung Park, and Jaihie Kim, "New Iris Recognition Method for Noisy Iris Images," Pattern Recognition Letters, 2011, accepted for publication.
11 Dae Sik Jeong, Jae Won Hwang, Byung Jun Kang, Kang Ryoung Park, Chee Sun Won, Dong-Kwon Park, and Jaihie Kim, "A New Iris Segmentation Method for Non-ideal Iris Images," Image and Vision Computing, Vol. 28, Issue 2, pp. 254-260, 2010.   DOI   ScienceOn
12 J. Daugman, "How Iris Recognition Works," IEEE Transactions on Circuits and Systems for Video Technology, Vol.14, No.1, pp. 21-30, 2004.   DOI   ScienceOn
13 조달호, 박강령, 이대웅, "모바일 환경에서의 홍채 인식에 적합한 홍채 및 동공 영역 추출방법," Proceedings of the 4th BERC Biometrics Workshop, 2006.
14 http://www.l1id.com/pages/530-mobile-idfor- military (accessed on 2011. 8. 1)
15 http://www.aoptix.com/iris-recognition/ product/insight-vm (accessed on 2011. 8. 1)
16 http://www.andor.com/learning/digital_ cameras/?docid=315 (accessed on 2011. 8. 1)
17 A. Vogel, C. Dlugos, R. Nuffer, and R. Birn gruber, "Optical Properties of Human Sclera, and Their Consequences for Transscleral Laser Applications," Lasers in Surgery and Medicine, Vol.11, Issue 4, pp. 331-340, 1991.   DOI   ScienceOn
18 E. V. Koblova, A. N. Bashkatov, E. A. Genina, V. V. Tuchin, and V. V. Bakutkin, "Estimation of Melanin Content in Iris of Human Eye," Proc. SPIE, Vol.5688, pp. 302-311, 2005.
19 Eui Chul Lee, Kang Ryoung Park, Mincheol Whang, and Kyungha Min, "Measuring the Degree of Eyestrain Caused by Watching LCD and PDP Devices," International Journal of Industrial Ergonomics, Vol.39, No.5, pp. 798-806, 2009.   DOI   ScienceOn
20 Sowon Yoon, Ho Gi Jung, Kang Ryoung Park, and Jaihie Kim, "Nonintrusive Iris Image Acquisition System Based on a Pan-Tilt- Zoom Camera and Light Stripe Projection," Optical Engineering, Vol.48, No.3, pp. 037202- 1-037202-15, 2009.   DOI   ScienceOn
21 T. Mansfield, G. Kelly, D. Chandler, and J. Kane, "Biometric Product Testing Final Report," Issue 1.0, National Physical Laboratory, 2001.
22 P. J. Grother, E. Tabassi, G. W. Quinn, and W. J. Salamon, "IREX I: Performance of Iris Recognition Algorithms on Standard Images," NIST Interagency/Internal Report(NISTIR) - 7629, 2009. (http://www.nist.gov/manuscriptpubl ication-search.cfm?pub_id=903606 (accessed on 2011. 8. 1))
23 P. J. Phillips, K. W. Bowyer, P. J. Flynn, X. Liu, and W. T. Scruggs, "The Iris Challenge Evaluation 2005," Proceedings of the 2nd IEEE International Conference on Biometrics: Theory, Applications and Systems, pp. 1-8, 2008.
24 G. Lu, J. Qi and Q. Liao, "A New Scheme of Iris Image Quality Assessment," Proceedings of the 3rd International Conference on International Information Hiding and Multimedia Signal Processing, Vol.1, pp. 147-150, 2007.
25 J. Daugman, "The Importance of Being Random: Statistical Principles of Iris Recognition," Pattern Recognition, Vol.36, Issue.2, pp. 279-291, 2003.   DOI   ScienceOn
26 남기표, 강병준, 박강령, "이동형 다중 바이오 인식 시스템 및 국방 응용에 관한 연구," 2009 국방정보 및 제어기술 학술대회, 국방대학원, 2009.
27 노승인, 김재희, "홍채인식기술의 현황과 응용," 한국정보과학회 논문지, 제19권, 제7호, pp. 4-13, 2001.
28 http://www.irisid.com/ps/hwproducts/index.htm (accessed on 2011. 8. 1)
29 Ho Gi Jung, Hyun Su Jo, Kang Ryoung Park, and Jaihie Kim, "Coaxial Optical Structure for Iris Recognition from a Distance," Optical Engineering, Vol.50, No.5, pp. 053201-1 - 053201-8, 2011.   DOI   ScienceOn
30 http://www.sarnoff.com/products/iris-onthe- move/portal-system (accessed on 2011. 8. 1)