참고문헌 (26)

1. Daugman, John. Probing the Uniqueness and Randomness of IrisCodes: Results From 200 Billion Iris Pair Comparisons. Proceedings of the IEEE, vol.94, no.11, 1927-1935.

   상세보기

2. Park, Kang Ryoung. Quantitative evaluation of depth of capture volume extension by constrained least-square-based image restoration. Optical engineering : the journal of the Society of Photo-optical Instrumentation Engineers, vol.49, no.4, 047004-.

   상세보기

3. 10.1007/978-1-84628-921-7_7 J. R. Matey, D. Ackerman, J. Bergen, and M. Tinker , “Iris recognition in less constrained environments,” Advances in Biometrics , pp. 107-131, Springer Verlag, London (2008). 

   

4. Matey, James R., Naroditsky, Oleg, Hanna, Keith, Kolczynski, Ray, LoIacono, Dominick J., Mangru, Shakuntala, Tinker, Michael, Zappia, Thomas M., Zhao, Wenyi Y.. Iris on the Move: Acquisition of Images for Iris Recognition in Less Constrained Environments. Proceedings of the IEEE, vol.94, no.11, 1936-1947.

   상세보기

5. Global Rainmakers, “HBOX,” http://www.hoyosgroup.com/ProductDocumentation/Products/HBOX/tabid/86/Default.aspx, (8 Sep. 2009). 

6. L. Mine , “Panasonic's biometric system verifies iris of walking person in 2 seconds,” Nikkei Electronics, http://techon.nikkeibp.co.jp/english/NEWS_EN/20070809/137753/, (Sep. 8, 2009). 

7. Yoon, Soweon. Nonintrusive iris image acquisition system based on a pan-tilt-zoom camera and light stripe projection. Optical engineering : the journal of the Society of Photo-optical Instrumentation Engineers, vol.48, no.3, 037202-.

   상세보기

8. K. Hanna, R. Mandelbaum, D. Mishra, V. Paragano, and L. Wixson , “A system for nonintrusive human iris acquisition and identification,” IAPR Workshop on Machine Vision Applications , pp. 200-203, Tokyo, Japan, (1996). 

9. F. W. Wheeler, A. G. A. Perera, G. Abramovich, B. Yu, and P. H. Tu , “Stand-off iris recognition system,” 2nd IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS 2008) , pp. 1-7 Arlington, VA, (2008). 

10. F. Bashir, P. Casaverde, D. Usher, and M. Friedman , “Eagle-Eyes TM : A system for iris recognition at a distance,” IEEE Conference on Technologies for Homeland Security , pp. 426-431, Waltham, MA, (2009). 

11. G. Guo and M. J. Jones , “A system for automated iris capturing,” Mitsubishi Electronic Research Laboratories Technical Report TR2005-044, see http://www.merl.com, (5 June 2010). 

12. Proc. SPIE Dong 6944 694406.1 2008 

13. 10.1109/CCPR.2009.5344030 W. Dong, Z. Sun, and T. Tan , “A design of iris recognition system at a distance,” Chinese Conference on Pattern Recognition (CCPR) , pp. 1-5, Nanjing, China, (2009). 

    

14. International Organization for Standardization (ISO) , “Information technology-Biometric data interchange formats-Part 6: Iris image data,” ISO？IEC 19794-19796 (2005). 

15. Edmund optics, “Cold mirrors,” http://www.edmundoptics.com/onlinecatalog/displayproduct.cfm?productid=1900, (June 5, 2010). 

16. Viola, Paul, Jones, Michael J.. Robust Real-Time Face Detection. International journal of computer vision, vol.57, no.2, 137-154.

    상세보기

17. Mach. Vision Appl. Castrillo？n 22 481 2010 

18. M. Castrillo？n , “Facial feature xml cascades for OpenCV,” see http://mozart.dis.ulpgc.es/Gias/modesto.html?lang=0, accessed on Feb. 6, 2011. 

19. Subbarao, Murali. Focusing techniques. Optical engineering : the journal of the Society of Photo-optical Instrumentation Engineers, vol.32, no.11, 2824-.

    상세보기

20. Daugman, J.. How iris recognition works. IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society, vol.14, no.1, 21-30.

    상세보기

21. Daugman, John. The importance of being random: statistical principles of iris recognition. Pattern recognition, vol.36, no.2, 279-291.

    상세보기

22. Kang, B.J., Park, K.R.. A robust eyelash detection based on iris focus assessment. Pattern recognition letters, vol.28, no.13, 1630-1639.

    상세보기

23. Jeong, D.S., Hwang, J.W., Kang, B.J., Park, K.R., Won, C.S., Park, D.K., Kim, J.. A new iris segmentation method for non-ideal iris images. Image and vision computing, vol.28, no.2, 254-260.

    상세보기

24. Jang, Y.K., Kang, B.J., Park, K.R.. A study on eyelid localization considering image focus for iris recognition. Pattern recognition letters, vol.29, no.11, 1698-1704.

    상세보기

25. He, Di, Leung, Henry. Network Intrusion Detection Using CFAR Abrupt-Change Detectors. IEEE transactions on instrumentation and measurement, vol.57, no.3, 490-497.

    상세보기

26. Lect. Notes Comput. Sci. Daugman 3338 783 2004