IMAGE ENHANCEMENT AND FEATURE EXTRACTION FOR IRIS RECOGNITION
Abstract
Iris recognition systems have been proposed by many researchers using different feature extraction techniques to obtain accurate and reliable biometric authentication. In this research, a technique for extracting statistical features based on the correlation between adjacent pixels was proposed and implemented. Iris fingerprint technology has been used in the medical field.
Iris fingerprint technology can be used to identify and verify a patient's identity. Iris recognition can help ensure the accuracy of patient records, and by scanning a patient's iris, hospitals can quickly and accurately identify patients, reducing the risk of medical errors and ensuring patient safety. Iris fingerprint technology can also be used to control access to sensitive areas within a hospital, such as medication storage rooms or operating rooms, helping to prevent unauthorized access and theft.
Additionally, iris fingerprint technology can also be integrated with electronic health records (EHR) systems. Allowing seamless and secure access to patient information by authorized healthcare providers.
The use of iris fingerprint technology in hospitals can improve patient safety, enhance security, and simplify access to medical records, which ultimately has the potential to improve safety and efficiency in the medical field and improve the quality of care for patients.
References
1. N.K. Kak, R. Gupta, S. Mahajan ,”Iris recognition system” International Journal of Advanced Computer Science and Application (IJACSA) vol1no, 1 (2010)
2. S.S. Harakannanavar, V.I. Puranikmath ,”Comparative Survey of Iris Recognition” International Conference on Electrical, Communication, Computer and Optimization Techniques (ICEECCOT), 2017 IEEE (2017).
3. N.K. Ratha, J.H. Connell, R.M. Bolle ,”Enhancing security and privacy in biometrics- based authentication systems” ,IBM Syst. J., 40 (2001), pp. 614-634
4. S.M. Elsherief, M.E. Allam, M.W. Fakhr ,”Biometric Personal Identification Based on Iris Recognition”, IEEE 1-4244-0272-7106-2006 (2006)
5. J. Zuo, N.K. Ratha, R.M. Connell Cancelable Iris biometric Proceeding of International Conference on Pattern Recognition (2008), pp. 1-4
6. Z. He, Z. Tan, Z. Sun, X. Qiu ,”Toward accurate and fast Iris segmentation f”,or Iris biometrics IEEE Trans. Pattern Anal. Mach. Intell., 31 (9) (2009) Sept. 2009
7. T. Thomas, A. George, K.P. “Indira Devi Effective Iris recognition system”, RAEREST 2016 elsevier (online) science direct
8. H. Li, Z. Sun, M. Zhang, L. Wang, L. Xiao, T. Tan . “A Brief Survey on Recent Progress in Iris Recognition”, CCBR, 2014 Springer International Publishing (2014) LNCS 8833 PP288-300, 2014
9. J.K. Pillai, V.P. Patel, R. Chellappa, N.K. Ratha .”Robust and secure Iris recognition”The Book -Handbook of Iris Recognition: Chapter1, springer (2016)
10. F. Hao, R. Anderson, J. Daugman .“Combining crypto with biometrics effectively”,IEEE Trans. Comput., 55 (9) (2006), pp. 1081-1088
11. S. Kanade, D. Petrovska-Delacretaz, B. Dorizzi .“Cancelable iris biometrics” and using error- correcting codes to reduce variability in biometric data Computer Vision and Pattern Recognition (2009)
12. H.A. Biu, R. Husain, A.S. Maggi .”An enhanced Iris Recognition and Authentication system”, using Energy measure Sci. World J., 13 (1) (2018) pp. 1597-6343
13. D. Sadhya, B. Raman .”Generation of cancelable Iris templates via randomized bit sampling .IEEE Trans. Inf. Forensics Secur., 14 (11) (2019), pp. 2972-2986,
14. Z. Ma, et al. EmIr-auth: eye movement and iris-based portable remote authentication for Smart grid IEEE Trans. Ind. Inf., 16 (10) (2020), pp. 6597-6606
15. D. Jiang, G. Zhang, O.W. Samuel, F. Liu, H. Xiao .”Dual-factor WBAN enhanced authentication system”, based on Iris and ECG descriptors ,IEEE Sensor. J., 22 (19) (2022), pp. 19000-19009
16. P. Polash, M. Monwar et al., "Human iris recognition for biometric identification," in Computer and information technology, ICCIT 2007. 10th international conference on. IEEE, pp. 1–5, 2008
17. Sarna and Sealy 1984; Delori and Pflibsen 1988; Clancy et al. 2000.
18. https://www.allaboutvision.com/eye-care/eye-anatomy/colored-part-of-eye/.
19. https://www.ncbi.nlm.nih.gov/core/lw/2.0/html/tileshop_pmc/tileshop_pmc_inline.ht ml?title=Click%20on%20image%20to%20zoom&p=PMC3&id=9044324_peerj-cs-08- 919-g001.jpg
20. "eye, human." Encyclopædia Britannica from Encyclopædia Britannica 2006 Ultimate Reference Suite DVD
