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:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

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ISSN 2228-9860
eISSN 1906-9642
CODEN: ITJEA8


FEATURE PEER-REVIEWED ARTICLE

Vol.11(15) (2020)

  • Iris Pattern Recognition: A Quantitative Review on How to Improve Iris-Based Pattern Recognition Security System

    G Malathi (School of Computing Science and Engineering, Vellore Institute of Technology, Chennai. INDIA ),

    Dinesh Mavaluru, Karthik Srinivasan (College of Computing and Informatics, Saudi Electronic University, SAUDI ARABIA ),

    Jayabrabu Ramakrishnan (College of Computer Science and Information Technology, Jazan University, SAUDI ARABIA ).

    Disciplinary: Ophthalmology, Computer Science and Informatics Engineering.

    ➤ FullText

    DOI: 10.14456/ITJEMAST.2020.305

    Keywords: Iris pattern recognition; Unimodal Biometrics; Multi-model Biometrics; Score-level fusion; Orientation recognition; Iris centre.

    Abstract
    The biometrics is a reliable authentication process for identifying individuals. Iris pattern recognition is a booming sector in biometric which has high accuracy in identification/authentication. The iris-based security system required an infra-red camera or video camera for the authentication process. This paper reviews several well-known Iris pattern recognition techniques that are used for authentication by biometric identities of iris. This work also discusses facts and downsides in the existing iris pattern recognition techniques.

    Paper ID: 11A15Q

    Cite this article:

    G Malathi, G., Mavaluru, D., Srinivasan, K., and Ramakrishnan, J.(2020). Iris Pattern Recognition: A Quantitative Review on How to Improve Iris-Based Pattern Recognition Security System. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 11(15), 11A15Q, 1-13. http://doi.org/10.14456/ITJEMAST.2020.305



References:

[1] S. Prabhakar, S. Pankanti, A. K. Jain, "Biometric Recognition: Security and Privacy Concerns" Biometric Recognition: Security and Privacy, 2003.

[2] A.K. Jain, A.Ross and S.Prabhakar, "An Introduction to Biometric Recognition" IEEE Transactions on Circuits and Systems for Video Technology, 14(1), 2004.

[3] Wikipedia. Human Eye. 2019. https://en.wikipedia.org/wiki/Human_eye Accessed July 2019.

[4] D.Gupta, "Multimodel Biometric System: Fusion Techniques and Their Comparison" Proceedings of 2015 RAECS UIET Panjab University Chandigarh, 2015.

[5] H.Takano, H. Kobayashi, and K.Nakamura, "Iris Recognition Independent of Rotation and Ambient Lighting Variations" 2006 International Conference on Neural Networks Sheraton Vancouver Wall Centre Hotel, Vancouver, BC, Canada, 2006

[6] P. Wild, J.Ferryman, A. Uhl, "Impact of (segmentation) quality on long vs. short-timespan assessments in iris recognition performance" IET Biom., 4(4), 227-235, 2015

[7] G. Xu, Y. Wang, J. Li, X. Zhou, "Real-Time Detection of Eye Corners and Iris Center from Images Acquired by Usual Camera" IEEE Computer Society, 2009.

[8] O.V. Komogortsev, A.Karpov, and C.D. Holland, "Attack of Mechanical Replicas: Liveness Detection With Eye Movements" IEEE Transactions on Information Forensics and Security, 10(4), 2015.

[9] J. S. Doyle, JR., and K.W. Bowyer, "Robust Detection of Textured Contact Lenses in Iris Recognition Using BSIF", IEEE. Translations and content mining are permitted for academic research, 3, 1672-1683, 2015

[10] X. Wei and C.-T. Li, "Fixation and Saccade based Face Recognition from Single Image per Person with Various Occlusions and Expressions" IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2013.

[11] P.-C. Chung, S.-S. Yu, C.-M. Lyu, J. Liu, "An Iris Segmentation Scheme Using Delogne–K?sa Circle Fitting Based on Orientation Matching Transform" International Symposium on Computer, Consumer and Control, 2014.

[12] B. Singh, N. Kandru, M. Chandra, "Application Control Using Eye Motion", International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom), 2014.

[13] S.Umer, B.C. Dhara, B. Chanda, "A Fast and Robust Method for Iris Localization" Fourth International Conference of Emerging Applications of Information Technology, 2014.

[14] M. Mehrubeoglu, L.M. Pham, H.T. Le, R. Muddu, and D. Ryu, "Real-Time Eye Tracking Using a Smart Camera", IEEE Society, 2015.

[15] Y.Elmir, Z.Elberrichi, R.Adjoudj, "Score Level Fusion Based Multimodal Biometric Identification (Fingerprint & Voice)", 6th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), 2012.

[16] V. Azom, A.Adewumi, J.-R. Tapamo, "Face and Iris biometrics person identification using hybrid fusion at feature and score-level" International Conference (PRASA-RobMech) Port Elizabeth, South Africa, November 26-27, 2015.

[17] C. D. Holland and O.V. Komogortsev, "Complex Eye Movement Pattern Biometrics: The Effects of Environment and Stimulus" IEEE Transactions on Information Forensics and Security, 8(12), 2013.

[18] D. Yadav, J.S. Doyle, M.Vatsa, "Unraveling the Effect of Textured Contact Lenses on Iris Recognition" IEEE Transactions on Information Forensics and Security, 9(5), 2014.

[19] A. Czajka, "Pupil Dynamics for Iris Liveness Detection" IEEE Transactions on Information Forensics and Security, 10(4), 2015.

[20] N.Othman and B.Dorizzi, "Impact of Quality-Based Fusion Techniques for Video-Based Iris Recognition at a Distance" IEEE Transactions on Information Forensics and Security, 10(8), 2015.

[21] N. K. Ratha, J. H. Connell, S. Pankanti, "Big Data approach to biometric-based identity analytics" IBM J. RES. & DEV., 59(2/3), 2015.

[22] J. M. Smereka, V. N. Boddeti and B. V. K. V. Kumar, "Probabilistic Deformation Models for Challenging Periocular Image Verification" IEEE Transactions on Information Forensics and Security, 10(9), 2015.

[23] H. Proen?a "Quality Assessment of Degraded Iris Images Acquired in the Visible Wavelength" IEEE Transactions on Information Forensics and Security, 6(1), 2011.

[24] U.Park, R.Reddy J., A.Ross, and A.K. Jain, "Periocular Biometrics in the Visible Spectrum" IEEE Transactions on Information Forensics and Security, 6(1), 2011.

[25] W. Dong, Z.Sun and T.Tan, "Iris Matching Based on Personalized Weight Map" IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(9), 2011.

[26] F. Juefei-Xu and M. Savvides, "Subspace-based discrete transform encoded local binary patterns representations for robust periocular matching on NIST's face recognition grand challenge," IEEE Trans. Image Process., 23(8), 3490-3505, 2014.

[27] H. S. Bhatt, S. Bharadwaj, R. Singh, and M. Vatsa, "Recognizing surgically altered face images using multiobjective evolutionary algorithm," IEEE Trans. Inf. Forensics Security, 8(1), 89-100, Jan. 2013.

[28] Judd, D.B.; Wyszecki, G. (1975). Color in Business, Science and Industry. Wiley Series in Pure and Applied Optics (third ed.). New York: Wiley-Interscience, 388p.

[29] Zimmer, C. "Our Strange, Important, Subconscious Light Detectors". Discover Magazine, 2012.

[30] J Ophthalmol, "Variations in eyeball diameters of the healthy adults". Epub, 2014.

[31] Riordan-Eva, P., Cunningham, E.T., Vaughan & Asbury's General Ophthalmology. 18th Ed., New York: McGraw-Hill Medical, 2011.

[32] Fischer, B.; Boch, R. (1983). "Saccadic eye movements after extremely short reaction times in the monkey". Brain Research, 260(1): 21-6. doi:10.1016/0006-8993(83)90760-6. PMID 6402272.

[33] Fischer, B.; Ramsperger, E. (1984). "Human express saccades: Extremely short reaction times of goal directed eye movements". Experimental Brain Research, 57. doi:10.1007/BF00231145.

[34] Timiras, P.S., "Physiological Basis of Aging and Geriatrics", 4th Ed., CRC Press, 2007, 113.

[35] McGee, S.R., "Evidence-based Physical Diagnosis". Elsevier Health Sciences, 2012, 161.

[36] Saladin, K.S. "Anatomy & physiology: the unity of form and function". 6th Ed., New York, McGraw-Hill, 620-622.

[37] "Eye, human."Encyclop?dia Britannica from Encyclopedia Britannica 2006 Ultimate Reference Suite DVD

[38] Gold, D.H; Lewis, R., "Clinical Eye Atlas," 396-397

[39] Martin, Z. "Biometric Trends: Will emerging modalities and mobile applications bring mass adoption?". SecureIDNews, 2011-03-23.

[40] "Probing the uniqueness and randomness of IrisCodes: Results from 200 billion iris pair comparisons." Proceedings of the IEEE, 94(11), 2006, 1927-1935.

[41] "Behin IRIS (Automated IRIS-Based Identification System)"

[42] M. Imran, A. Rao, and G. Hemantha Kumar, "Multibiometric systems: A comparative study of Multi-algorithmic and Multimodal approaches," Procedia Comput. Sci., 2, 2009, 207-212.

[43] A. Ross and A. K. Jain, "Multimodal Biometrics: an Overview," In 12th European IEEE Signal Processing Conference, 2004, 1221-1224.



Other issues:
Vol.11(14)(2020)
Vol.11(13)(2020)
Vol.11(12)(2020)
Vol.11(11)(2020)
Vol.11(10)(2020)
Vol.11(9)(2020)
Vol.11(8)(2020)
Vol.11(7)(2020)
Vol.11(6)(2020)
Vol.11(5)(2020)
Vol.11(4)(2020)
Vol.11(3)(2020)
Vol.11(2)(2020)
Vol.11(1)(2020)
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