Diverse Frameworks on Retina Verification
Keywords:
Retinal Feature Extraction, Retina Vessel Detection, Multigraph Attributes, Biometric Graph Matching, Person VerificationAbstract
This paper mainly presents different methods for the person authentication. The survey mainly includes the following methods; a high performance system with features obtained from human retinal images, retina verification using feature point based biometric pattern, then using the digital retinal images, retinal fundus biometric analysis, score level fusion of left and right irises, using 2-D matched filters, then using 2-D morlet wavelet method and finally using the biometric graph matching algorithm.
References
H. Farzin, H. Abrishami-Moghaddam, and M. S. Moin, “A novel retinal identification system”, EURASIP Journal of Advances Signal Processing, Volume-2008, Page No (1–10), April 2008.
M. Ortega, M. G. Penedo, J. Rouco, N. Barreira, and M. J. Carreira, “Retinal verification using a feature points-based biometric pattern”, EURASIP Journal of Advanced Signal Processing, Volume-2009, Page No (1–13), March 2009.
C. Mariño, M. G. Penedo, M. Penas, M. J. Carreira, and F. González, “Personal authentication using digital retinal images”, Journal of Pattern Analysis and Applications, Volume-9, No-1, Page No (21–33), 2006.
V. Bevilacqua, L. Cariello, D. Columbo, M. D. Fabiano, M. Giannini, G. Mastronardi, and M. Castellano, “Retinal fundus biometric analysis for personal identifications”, Proceedings of International Conference of Intelligent Computing, Page No (1229–1237), September 2008.
L. Latha and S. Thangasamy, “A robust person authentication system based on score level fusion of left and right irises and retinal features”, Proceedings of Computer Science, Volume-2, Page No (111–120), January 2010.
S. Chaudhuri, S. Chatterjee, N. Katz, M. Nelson, and M. Goldbaum, “Detection of blood vessels in retinal images using two-dimensional matched filters”, IEEE Transaction in Medical Imaging, Volume-8, No-3, Page No(263–269), September 1989.
M. Z. C. Azemin, D. K. Kumar, and H. R. Wu, “Shape signature for retinal biometrics”,Proceedings of International Conference of Digital Image Computer Technology and Applications,Page No (381–386), December 2009.
J. Soares, J. Leandro, R. Cesar, H. Jelinek, and M. Cree, “Retinal vessel segmentation using the 2-d Gabor wavelet and supervised classification,” IEEE Transaction in Medical Imaging, Volume- 25, No-9,Page No (1214–1222), September 2006.
Seyed Mehdi Lajevardi, Member, IEEE, Arathi Arakala, Stephen A. Davis, and Kathy J. Horadam “Retina Verification System Based on Biometric Graph Matching” IEEE Transaction in Image Pocessing, Volume-22, No-9, September 2013.
R. C. Gonzalez, R. E. Woods, and S. L. Eddins, “Digital Image Processing Using MATLAB”, Upper Saddle River, NJ, USA: Prentice-Hall, 2003.
B. Ulery, W. Fellner, P. Hallinan, A. Hicklin, and C. Watson, “Studies of biometric fusion,” Department of Commerce, National Institute of Standards Technology, Gaithersburg, MD, USA, Tech. Rep.IR 7346, Sep. 2006.
VARPA. “Varpa Retinal Images for Authentication Database”, http://www.varpa.es/varia.html, 2006
R. Hill, “Biometrics: Personal Identification in Networked Society”. New York, NY, USA: Springer-Verlag, Chapter-6, Page No (123–141), 1999.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
