Comprehensive assessment of iris image quality

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2011, Pages 3117-3120

  Li, Xingguang ^a,b   Sun, Zhenan ^b   Tan, Tieniu ^b  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b INSTITUTE OF AUTOMATION   (China)

Author keywords

de focus; image quality assessment; Iris recognition; motion blur; off angle

Indexed keywords

DE-FOCUS; IMAGE QUALITY ASSESSMENT; IRIS RECOGNITION; MOTION BLUR; OFF-ANGLE;

BIOMETRICS; QUALITY CONTROL; RATING;

IMAGE QUALITY;

EID: 84863079333     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2011.6116326     Document Type: Conference Paper

References (12)

1. J. Daugman, "How iris recognition works," IEEE Trans. on Circuits and Systems for Video Technology, vol. 14, no. 1, pp. 21-30, 2004.
2. Z.Wei, T.Tan, Z.Sun, and J.Cui, "Robust and fast assessment of iris image quality," in Proc. Int. Conf. on Biometrics. 2005, vol. 3832, pp. 464-471, LNCS 3832.
3. N.D. Kalla, J.Zuo, N.A.Schmid, and B.Cukic, "Estimating and fusing quality factors for iris biometric images," IEEE Trans. on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol. 40, no. 3, pp. 509-524, 2010.
4. C.Belcher and Y.Du, "A selective feature information approach for iris image-quality measure," IEEE Trans. on Information Forensics and Security, vol. 3, no. 3, pp. 572-577, 2008.
5. J.Zuo, F.Nicolo, Natalia A.Schmid, and H.Wechsler, "Adaptive biometric authentication using nonlinear mappings on quality measures and verification scores," in Proc. ICIP, 2010.
6. P.Grother and E.Tabassi, "Performance of biometric quality measures," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 29, no. 4, pp. 531-543, April 2007.
7. K.Nandakumar, Y.Chen, S.C.Dass, and A.K. Jain, "Likelihood ratio-based biometric score fusion," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 30, no. 2, pp. 342-347, February 2008.
8. J.Zuo and N.A.Schmid, "Global and local quality measures for nir iris video," in Proc. of the 2009 IEEE CVPR Workshops,, Miami, FL, June 2009, pp. 1-6.
9. Z.He, T.Tan, Z.Sun, and X.Qiu, "Toward accurate and fast iris segmentation for iris biometric," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 31, pp. 1670-1684, Sep. 2009.
10. Wikipedia, "Student's t-test - wikipedia, the free encyclopedia," 2011, [Online; accessed 17-January-2011].
11. J. Daugman, "The importance ofbeing random: statistical principles of iris recognition," Pattern Recognition, vol. 36, pp. 279-291, 2003.
12. Z.Sun and T.Tan, "Ordinal measures for iris recognition," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 31, no. 12, pp. 2211-2226, Dec. 2009.