Personal identification using retina

• Autorzy: Choraś R.S.
• Języki publikacji: EN

Abstrakty

EN

This paper proposes a biometric system for authentication that uses the retina blood vessel pattern. The retina biometric analyzes the layer of blood vessels located at the back of the eye. The blood vessels at the back of the eye have a unique pattern, from eye to eye and person to person. The retina, a layer of blood vessels located at the back of the eye, forms an identity card for the individual under investigation. In particular retinal recognition creates an ”eye signature” from its vascular configuration and its artificial duplication is thought to be virtually impossible.

Słowa kluczowe

EN

retina; retina biometrics; vessel pattern; feature extraction; Gabor transform; feature vector; matching

PL

siatkówka; biometria siatkówki; wybór cech obrazu

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2009
• Tom: Vol. 13
• Strony: 53--58
• Opis fizyczny: Bibliogr. 11 poz., rys., tab.

Twórcy

autor

Choraś R.S.

• Uniwersytet Technologiczno-Przyrodniczy, Wydział Telekomunikacji i Elektrotechniki, ul. Kaliskiego 7, 85-796 Bydgoszcz

Bibliografia

• [1] GOH K.G., LEE M.L., HSU W. WANG H., ADRIS: An Automatic Diabetic Retinal Image Screening System, Medical Data Mining and Knowledge Discovery, Springer-Verlag, 2000.
• [2] HSU W., PALLAWALA P.M.D.S., LEE M.L. KAH-GUAN A.E., The Role of Domain Knowledge in the Detection of Retinal Hard Exudates, IEEE Computer Vision and Pattern Recognition, Hawaii, Dec 2001.
• [3] LI H., CHUTATAPE O., Automated feature extraction in color retinal images by a model based approach, in IEEE Trans. Biomed. Eng., 2004, vol. 51, pp. 246 – 254.
• [4] SALEM N.M., NANDI A.K., Novel and adaptive contribution of the red channel in pre-processing of colour fundus images, in Journal of the Franklin Institute, 2007, p. 243-256.
• [5] KIRBAS C., QUEK K., Vessel extraction techniques and algorithm: a survey, Proceedings of the 3rd IEEE Symposium on BioInfomratics and Bioengineering (BIBE’ 03), 2003.
• [6] CHANG S, SHIM D., Sub-pixel Retinal Vessel Tracking and Measurement Using Modified Canny Edge Detection Method, Journal of Imaging Science and Technology March-April 2008 issue.
• [7] CHANWIMALUANG T, FAN G., An efficient algorithm for extraction of anatomical structures in retinal images, in Proc. IEEE International Conference on Image Processing, pp. 1093–1096, (Barcelona, Spain), 9 2003.
• [8] FARZIN H, ABRISHAMI-MOGHADDAM H, MOIN M.S., A novel retinal identification system, EURASIP Journal on Advances in Signal Processing, vol. 2008, Article ID 280635, 10 pages, 2008.
• [9] CHORAS R.S., Image Feature Extraction Techniques and Their Applications for CBIR and Biometrics Systems – International Journal of Biology and Biomedical Engineering, Issue 1, vol.1, pp. 6-16, 2007
• [10] CHORAS R.S., Iris Recognition - M. Kurzynski, M.Wozniak (Eds.): Computer Recognition Systems 3, AISC 57, pp. 637–644, Springer-Verlag Berlin Heidelberg 2009
• [11] CHORAS R.S., Iris-based person identification using Gabor wavelets and moments – Proceedings 2009 International Conference on Biometrics and Kansei Engineering ICBAKE 2009, pp. 55-59, CPS IEEE Computer Society, Los Alamitos, California, Washington, Tokyo