Focus-score weighted super-resolution for uncooperative iris recognition at a distance and on the move

International Conference Image and Vision Computing New Zealand

Volumn , Issue , 2010, Pages

  Nguyen, K ^a   Fookes, C ^a   Sridharan, S ^a   Denman, S ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

iris recognition; MBGC; signal level fusion; super resolution

Indexed keywords

ASSESSMENT APPROACHES; GRAND CHALLENGE; HIGH FREQUENCY COMPONENTS; HIGH RESOLUTION; IRIS IDENTIFICATION; IRIS IMAGES; IRIS RECOGNITION; LOW RESOLUTION; MBGC; PIXEL RESOLUTION; SUPER RESOLUTION; VIDEO SEQUENCES;

BIOMETRICS;

OPTICAL RESOLVING POWER;

EID: 84858985850     PISSN: 21512191     EISSN: 21512205     Source Type: Conference Proceeding    
DOI: 10.1109/IVCNZ.2010.6148792     Document Type: Conference Paper

References (19)

1. Castrillón Santana M., Déniz Suárez O., Hernández Sosa D., and Lorenzo Navarro J. Using incremental principal component analysis to learn a gender classifier automatically. In 1st Spanish Workshop on Biometrics, Gi-rona, Spain, June 2007.
2. Chen W., Er M.J., and Wu S. Illumination compensation and normalization for robust face recognition using discrete cosine transform in logarithm domain. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 36(2):458-466, april 2006.
3. Daugman J. How iris recognition works. IEEE Transactions on Circuits and Systems for Video Technology, 14(1):21-30, 2004.
4. Du S. and Ward R. Wavelet-based illumination normalization for face recognition. In Image Processing, 2005. ICIP 2005. IEEE International Conference on, volume 2, pages II 954-7, 11-14 2005. (Pubitemid 44539099)
5. Fahmy G. Super-resolution construction of iris images from a visual low resolution face video. In Signal Processing and its Applications, 2007. ISSPA 2007. 9th International Symposium on, pages 1-4, 12-15 2007.
6. Fierrez-Aguilar J., Ortega-Garcia J., Gonzalez-Rodriguez J., and Bigun J. Discriminative multimodal biometric authentication based on quality measures. Pattern Recognit. (UK), 38(5):7779, 2005.
7. Hollingsworth K., Peters T., Bowyer K., and Flynn P. Iris recognition using signal-level fusion of frames from video. Information Forensics and Security, IEEE Transactions on, 4(4):837-848, dec. 2009.
8. Hollingsworth K.P., Bowyer K.W., and Flynn P.J. Image Averaging for Improved Iris Recognition. volume 5558 LNCS, pages 1112-1121, Alghero, Italy, 2009.
9. Huang T.T.J., Ma L. and Wang Y. Learning based resolution enhancement of iris images. British Machine Vision Conference, 1(1):1-10, 2003.
10. Jain A., Ross A., and Prabhakar S. An introduction to biometric recognition. Circuits and Systems for Video Technology, IEEE Transactions on, 14(1):4-20, jan. 2004.
11. Kang B.J. and Park K.R. A Study on Iris Image Restoration. pages 31-40, Berlin, Germany, 2005.
12. Lee Y., Micheals R., and Phillips P. Improvements in video-based automated system for iris recognition (vasir). In Motion and Video Computing, 2009. WMVC '09. Workshop on, pages 1-8, 8-9 2009.
13. Lin F., Fookes C., Chandran V., and Sridharan S. Super-resolved faces for improved face recognition from surveillance video. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 4642 LNCS, pages 1-10, Seoul, Korea, Republic of, 2007.
14. Nguyen K., Fookes C., and Sridharan S. Robust mean super-resolution for less cooperative nir iris recognition at a distance and on the move. International Symposium on Information and Communication Technology, 2010.
15. Park S.C., Park M.K., and Kang M.G. Super-resolution image reconstruction: A technical overview. IEEE Signal Processing Magazine, 20(3):21-36, 2003.
16. Phillips P., Flynn P., Bevcridge J., Scruggs W., O'Toole A., Bolme D., Bowyer K., Draper B., Givens G., Lui Y.M., Sahibzada H., Scallan I., J.A., and Weimer S. Overview of the multiple biometrics grand challenge. In Advances in Biometrics Proceedings Third International Conference, ICB 2009, pages 705-14, Berlin, Germany, 2009.
17. Proenca H. and Alexandre L. A method for the identification of noisy regions in normalized iris images. In Pattern Recognition, 2006. ICPR 2006. 18th International Conference on, volume 4, pages 405-408, 0-0 2006. (Pubitemid 46553444)
18. Shin K.Y., Park K.R., Kang B.J., and Park S.J. Super-resolution method based on multiple multi-layer perceptrons for iris recognition. In Ubiquitous Information Technologies Applications, 2009. ICUT '09. Proceedings of the 4th International Conference on, pages 1-5, 20-22 2009.
19. Viola P. and Jones M.J. Robust realtime face detection. International Journal of Computer Vision, 57(2):137-154, 2004.