How to Cite?
Deepak Singh,Mr. Mohan Rao Mamdikar, "Identification of a Person Using Iris Features: Challenges and Trends," International Journal of Computer Trends and Technology, vol. 68, no. 6, pp. 18-21, 2020. Crossref, https://doi.org/10.14445/22312803/IJCTT-V68I6P103
Abstract
Iris detection become a very useful biometric feature in today’s era, when more emphasis given on security of data, because of need of authentication of data. Iris identification is among one of the most widely accepted biometric feature used for identification of a person. Here, we are going to review available iris detection techniques with their merits and demerits. The paper contains the basic steps used for iris recognition along with detailed analysis of each step and focuses on previous works done by different researchers in each step with a conclusion part. At the end we ensure that the paper will be helpful for new researchers in order to identify the gaps in existing system and to identify the right path for research.
Keywords
Human Eyes, Iris Detection, Segmentation, Pattern Recognition.
Reference
[1] ShaabadA.Sahmoud and Ibrahim S. Abuhaiba, “Efficient iris segmentation method in unconstrained environments,” Pattern Recognition, vol.46, no.12, pp. 3174-3185, 2013.
[2] John Daugman, “Statistical richness of visual phase information: update on recognizing persons by iris patterns,” International Journal of Computer Vision, vol. 45, no.1, pp.25-38, 2001.
[3] Leonard Flom and Aran Safir, “Iris recognition system,” U. S. Patent 4641349, 1987.
[4] Daugman J., “Recognizing persons by their iris patterns”, Proc. Advances in Biometric Person Authentication, Vol. 3338, pp. 5 - 25, 2004.
[5] Daugman J., “The importance of being random: statistical principles of iris recognition”, Proc. Pattern Recognit., Vol. 36, pp. 279 – 291, 2003.
[6] Proenca H., “An iris recognition approach through structural pattern analysis methods”, Expert Systems, Vol. 27, No. 1, pp. 6 - 16, 2010.
[7] Yu Chen, “A high efficient biometrics approach for unconstrained iris segmentation and recognition”, Ph.D. Thesis, College of Engineering and Computing, Florida International University, 2010.
[8] M. A. Mohamed, M. A. Abou-El-Soud and M. M. Eid, "Automated Algorithm for Iris Detection and Code Generation," 2009.
[9] S. S. Mabruka, N. S. Sonawane and J. A., "Biometric System using Iris Recognition," International Journal of Innovative Technology and Exploring Engineering, vol. 2, no. 5, 2013.
[10] M. Pradhan, "Next Generation Secure Computing: Biometric in Secure E-transaction," International Journal of Advance Research in Computer Science and Management Studies, vol. 3, no. 4, pp. 473-489, 2015.
[11] Ajay Kumar, Tak-Shing Chan, Chun-Wei, Tan,”Human Identification from at-a-distance Face Images using Sparse Representation of Local Iris Features,”978-1-4673-0397- 2/12/$31.00@2012 IEEE.
[12] iris image dataset https://en.wikipedia.org/wiki/Iris_recognition seen on 12Jan 2020.
[13] Shirke, Swati D., and C. RajaBhushnam. "Review of IRIS recognition techniques." 2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET).IEEE, 2017.
[14] Chun-Wei Tan,Ajay Kumar,” Accurate Iris Recognition at a Distance Using Stabilized Iris Encoding and Zernike Moments Phase Features”,IEEETrans.on Image Processing,Vol-23,no 9,Sept. 2014.
[15] B. Jain, Dr.M.K.Gupta and Prof.JyotiBharti, "Efficient Iris recognition algorithm using Method of Moments," in International Journal of Artificial Intelligence & Applications, 2012.
[16] N. Puhan, N. Sudha, H. Xia and X. Jiang, "Iris recognition on edge maps," in IET Computer Vision, 2007.
[17] Liu, X., Bowyer, K., Flynn, P.: “Experiments with an improved iris segmentation algorithm.” In: IEEE Workshop on Automatic Identification Advanced Technologies (2005)
[18] Li, H., Sun, Z., Tan, T.: “Robust iris segmentation based on learned boundary detectors”. In: International Conference on Biometrics (2012)
[19] Uhl, A., Wild, P.: Weighted adaptive hough and ellipsopolar transforms for realtime iris segmentation. In: International Conference on Biometrics (2012)
[20] He, Z., Tan, T., Sun, Z., Qiu, X.: Toward accurate and fast iris segmentation for iris biometrics. IEEE TPAMI 31(9), 1670–1684 (2009)
[21] Liu, X., Li, P., Song, Q.: Eyelid localization in iris images captured in less constrained environment. In: Tistarelli, M., Nixon, M.S. (eds.) ICB 2009. LNCS, vol. 5558, pp. 1140–1149. Springer, Heidelberg (2009).
[22] Ma, L., Tan, T., Wang, Y., Zhang, D.: Personal identification based on iris texture analysis. IEEE TPAMI 25(12), 1519–1533 (2003)
[23] Noh, S.I., Bae, K., Park, Y., Kim, J.: “A novel method to extract features for iris recognition system”. In: Kittler, J., Nixon, M.S. (eds.) AVBPA 2003. LNCS, vol. 2688, pp. 862–868. Springer, Heidelberg (2003).
[24] Monro, D.M., Rakshit, S., Zhang, D.: Dct-based iris recognition. IEEE TPAMI 29(4), 586–595 (2007).
[25] Sun, Z., Tan, T.: Ordinal measures for iris recognition. IEEE TPAMI 31(12), 2211– 2226 (2009).
[26] D.M. Rankin, B.W. Scotney, P.J. Morrow and B.K. Pierscionek, “Iris recognition failure over time: The effects of texture,” Pattern Recognition, vol.45, no.1, pp.145-150, 2012.
[27] Richard Yew Fatt Ng, Yong Haur Tay and Kai Ming Mok, “ A reviewof iris recognition algorithms,” IEEE Trans. Information Technol., vol.2, pp. 1-7, 2008.
[28] Yu Chen, MalekAdjouadi , Changan Han, Jin Wang, Armando Barreto, Naphtali Rishe and Jean Andrian, “A highly accurate and computationally efficient approach for unconstrained iris segmentation,” Image and Vision Computing, vol. 28, no.2, pp. 261-269, 2010.
[29] Tieniu Tan, Zhaofeng He and Zhenan Sun, “Efficient and robust segmentation of noisy iris images for non-corporative iris recognition,” Image and Vision Computing, vol.28, no.2, pp.223-230, 2010.
[30] ShaabadA.Sahmoud and Ibrahim S. Abuhaiba, “Efficient iris segmentation method in unconstrained environments,” Pattern Recognition, vol.46, no.12, pp. 3174-3185, 2013.
[31] Saranya M and Sundaresan , “Human Iris Authentication for Autonomous Vehicle”, SSRG International Journal of Electronics and Communication Engineering, Vol 4, Iss 5,2017