A comprehensive sclera image quality measure

11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010

Volumn , Issue , 2010, Pages 638-643

  Zhou, Zhi ^a   Du, Eliza Y ^a   Thomas, N Luke ^a  

^a Indiana University Purdue University Indianapolis   (United States)

Author keywords

Feature score; Quality score; Sclera image quality measure; Sclera recognition; Score fusion; Segmentation score

Indexed keywords

FEATURE SCORE; QUALITY SCORE; SCLERA IMAGE QUALITY MEASURE; SCLERA RECOGNITION; SCORE FUSION; SEGMENTATION SCORE;

COMPUTER VISION; FEATURE EXTRACTION; FORMAL LOGIC; IMAGE QUALITY; IMAGE SEGMENTATION; PATTERN RECOGNITION SYSTEMS; ROBOTICS;

QUALITY CONTROL;

EID: 79952430463     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICARCV.2010.5707959     Document Type: Conference Paper

References (32)

1. C.W. Oyster, The human eye : structure and function, Sinauer Associates, 1999.
2. P. Kaufman and A. Alm, Adler's physiology of the eye: clinical application, Mosby St. Louis, 2003.
3. R. Broekhuyse, "The lipid composition of aging sclera and cornea," International journal of ophthalmology, vol. 171, no. 1, 1975, pp. 82-85.
4. A. KANAI and H. KAUFMAN, "Electron microscopic studies of the elastic fiber in human sclera," Investigative Ophthalmology & Visual Science, vol. 11, no. 10, 1972, pp. 816.
5. S. Vannas and H. Teir, "Observations on structures and age changes in the human sclera," Acta Ophthalmologica, vol. 38, no. 3, 2009, pp. 268-279.
6. R. Weale, The aging eye, Hoeber Medical Division, Harper & Row, 1963.
7. R. Derakhshani, A. Ross and S. Crihalmeanu, "A New Biometric Modality Based on Conjunctival Vasculature," Proc. of Artificial Neural Networks in Engineering (ANNIE), 2006.
8. R. Derakhshani and A. Ross, "A Texture-Based Neural Network Classifier for Biometric Identification using Ocular Surface Vasculature," Proc. Proc. of the Internationl Joint Conference on Neural Networks, IJCNN 2007, IEEE, 2007, pp. 2982-2987.
9. S. Crihalmeanu, A. Ross and R. Derakhshani, "Enhancement and Registration Schemes for Matching Conjunctival Vasculature," Proceedings of the Third International Conference on Advances in Biometrics, vol. 1568121, 2009, pp. 1240-1249.
10. N. Thomas, Y. Du and Z. Zhou, "A new approach for sclera vein recognition," pp. 770805.
11. J. Daugman, "How iris recognition works," Circuits and Systems for Video Technology, IEEE Transactions on, vol. 14, no. 1, 2004, pp. 21-30.
12. L. Ma, T. Tan, Y. Wang and D. Zhang, "Personal identification based on iris texture analysis," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 25, no. 12, 2003, pp. 1519-1533.
13. N. Kalka, J. Zuo, N. Schmid and B. Cukic, "Image quality assessment for iris biometric," Citeseer.
14. Y. Chen, S. Dass and A. Jain, "Localized iris image quality using 2-d wavelets," Advances in Biometrics, pp. 373-381.
15. Z. He, T. Tan, Z. Sun and X. Qiu, "Toward Accurate and Fast Iris Segmentation for Iris Biometrics," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 31, no. 9, 2009, pp. 1670-1684.
16. C. Belcher and Y. Du, "Feature information based quality measure for iris recognition," Proc. Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on, 2007, pp. 3339-3345.
17. A. Abhyankar and S. Schuckers, "Iris quality assessment and biorthogonal wavelet based encoding for recognition," Pattern Recognition, vol. 42, no. 9, 2009, pp. 1878-1894.
18. Z. Zhou, Y. Du and C. Belcher, "Transforming Traditional Iris Recognition Systems to Work in Nonideal Situations," Industrial Electronics, IEEE Transactions on, vol. 56, no. 8, 2009, pp. 3203-3213.
19. C. Belcher and Y. Du, "A Selective Feature Information Approach for Iris Image-Quality Measure," Information Forensics and Security, IEEE Transactions on, vol. 3, no. 3, 2008, pp. 572-577.
20. Y.Du, C. Belcher, Z. Zhou and R.W. Ives, "Feature Correlation Evaluation Approach for Iris Image Quality Measure," Signal Processing, vol. 90, no. 4, 2010, pp. 1176-1187.
21. C. Belcher and Y. Du, "Region-based SIFT approach to iris recognition," Optics and Lasers in Engineering, vol. 47, no. 1, 2009, pp. 139-147.
22. Y. Du, E. Arslanturk, Z. Zhou and C. Belcher, "Video-based Non-Cooperative Iris Image Segmentation," IEEE Trans. on Systems, Man, and Cybernetics, Part B, 2010(in press).
23. Y. Du, C. Belcher, Z. Zhou and E. Arslanturk, "Gabor Descritpor Based Non-Cooperative Iris Recognition," EURASIP Journal on Adcances in Signal Processing, 2010(in press).
24. Y. Du, "Review of Iris Recognition: Cameras, Systems, and Their Applications," Sensor Review, vol. 26, no. 1, 2006, pp. 66-69.
25. Y. Du, R.W. Ives, D.M. Etter and T.B. Welch, "Use of One-Dimensional Iris Signatures to Rank Iris Pattern Similarities," Optical Engineering, vol. 45, no. 3, 2006, pp. 037201-037201-037210.
26. H. Proenca and L.A. Alexandre, "Toward Noncooperative Iris Recognition: A Classification Approach Using Multiple Signatures," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 29, no. 4, 2007, pp. 607-612.
27. M. Vatsa, R. Singh and A. Noore, "Improving iris recognition performance using segmentation, quality enhancement, match score fusion, and indexing," IEEE Transactions on Systems, Man, and Cybernetics-Part B, vol. 38, no. 4, 2008, pp. 1021-1035.
28. J. Daugman, "New Methods in Iris Recognition," Systems, Man, and Cybernetics, Part B, IEEE Transactions on, vol. 37, no. 5, 2007, pp. 1167-1175.
29. R. Ives, D. Bishop, Y. Du and C. Belcher, "Iris Recognition: the Consequences of Image Compression," EURASIP Journal on Adcances in Signal Processing (accepted), 2010.
30. H. Proenca, "Iris Recognition : On the Segmentation of Degraded Images Acquired in the Visible Wavelength," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009.
31. G. Shafer, A mathematical theory of evidence, Princeton university press Princeton, NJ, 1976.
32. H. Proença and L.A. Alexandre, "UBIRIS: A noisy iris image database," 13th International Conference on Image Analysis and Processing, vol. LNCS 3617, 2005, pp. 970-977.