Iris identification Method of Biometric Authentication
Keywords:
Biometric authentication, Iris recognition, Normalization, SegmentationAbstract
The iris is the colored, donut-shaped portion of the eye behind the cornea and surrounds
the pupil. A person’s iris pattern is unique and remains unchanged throughout life. Also,
covered by the cornea, the iris is well protected from damage, making it a suitable body part
for biometric BIOMETRICs is the measurement of human physiological characteristics for
security reasons. There are so many types of biometrics existed including finger print, iris
recognition, voice recognition. From the above mentioned biometric techniques Iris
recognition gives better security and it has more advantages over other types of biometric
authentication methods.
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References
Nianfeng Liu, Jing Liu, Zhenan Sun and Tieniu Tan, "A Code-level Approach to Heterogeneous Iris Recognition", IEEE Transactions on Information Forensics and Security, Vol. 12, No. 10, pp. 2373 – 2386, 2017.
Sheng-Hsun Hsieh, Yung-Hui Li, Chung-Hao Tien, and Chin-Chen Chang, "Extending the capture volume of an iris recognition system using wavefront coding and superresolution", IEEE transactions on cybernetics Vol. 46, No. 12, pp. 3342-3350, 2016.
Zhiyong Peng, Hongchen Wang, Jun Wu, and Jun Li, "An improved Daugman method for iris recognition", Wuhan University Journal of Natural Sciences Vol. 20, No. 3, pp. 229-234, 2015.
Imran Naseem, Affan Aleem, Roberto Togneri and Mohammed Bennamoun, "Iris recognition using classspecific dictionaries", Computers & Electrical Engineering Vol. 62, pp.178-193, 2016.
Soubhagya Sankar Barpanda, Banshidhar Majhi, PankajKumarSa, “Region based feature extraction from non-cooperative iris images using triplet half band filterbank”, Optics & Laser Technology, Vol. 72, pp. 6– 14, 2015
Francesco Marra, Giovanni Poggi, Carlo Sansone and Luisa Verdoliva, “A deep learning approach for iris sensor model identification”, Pattern Recognition Letters pp.1–8, 2017.
Aman Jatain, Yojna Arora, Jitendra Prasad, Sachin Yadav, Konark Shivam, Department of Computer Science, Amity University, Gurgaon, Haryana,Design and Development of Biometric Enabled Advanced Voting System May 2020.
S.Sanderson, J. Erbetta. Authentication for Secure Environments Based On Iris Scanning Technology. IEE Colloquium on Visual Biometrics, 2000.
Chandra Keerthi Pothina , Atla Indu Reddy, Ravikumar CV,Electronics and Communication Engineering, Vellore Institute of Technology, Vellore,Smart Voting System using Facial Detection April 2020.
J. Daugman. How iris recognition work s. Proceedings of 2002 International Conference on Image Processing, Vol. 1, 2002
Saravanan.N, Pavithra.K, Nandhini.C,Dept. of MCA Priyadarshini Engineering College, vaniyambadi, Tamilnadu, India,Iris Based E- Voting System Using Aadhar Database,April-2017
Judith Liu-Jimenez,Raul Sanchez-Reillo. Iris Biometrics For Embedded Systems IEEE Transaction Vol 19 NO 2 February 2011
J Nithya, G.Abinaya, B.Sankareswari, M.Saravana Lakshmi ,Jeppiaar Engineering College, Chennai- 119,Iris recognition based voting system, July 2015.
C.Sanchez-Avila and R. Sanchez-Reillo, Two different approaches for iris recognition using Gabor filters and multi scale zero crossing.
