Open Access   Article Go Back

Implementation of Iris Recognition Using Circular Hough Transform and Template Generation

A. A. Halder1 , S. R. Pande2

Section:Research Paper, Product Type: Journal Paper
Volume-8 , Issue-1 , Page no. 13-16, Jan-2020

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v8i1.1316

Online published on Jan 31, 2020

Copyright © A. A. Halder, S. R. Pande . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: A. A. Halder, S. R. Pande, “Implementation of Iris Recognition Using Circular Hough Transform and Template Generation,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.1, pp.13-16, 2020.

MLA Style Citation: A. A. Halder, S. R. Pande "Implementation of Iris Recognition Using Circular Hough Transform and Template Generation." International Journal of Computer Sciences and Engineering 8.1 (2020): 13-16.

APA Style Citation: A. A. Halder, S. R. Pande, (2020). Implementation of Iris Recognition Using Circular Hough Transform and Template Generation. International Journal of Computer Sciences and Engineering, 8(1), 13-16.

BibTex Style Citation:
@article{Halder_2020,
author = {A. A. Halder, S. R. Pande},
title = {Implementation of Iris Recognition Using Circular Hough Transform and Template Generation},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2020},
volume = {8},
Issue = {1},
month = {1},
year = {2020},
issn = {2347-2693},
pages = {13-16},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4989},
doi = {https://doi.org/10.26438/ijcse/v8i1.1316}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i1.1316}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4989
TI - Implementation of Iris Recognition Using Circular Hough Transform and Template Generation
T2 - International Journal of Computer Sciences and Engineering
AU - A. A. Halder, S. R. Pande
PY - 2020
DA - 2020/01/31
PB - IJCSE, Indore, INDIA
SP - 13-16
IS - 1
VL - 8
SN - 2347-2693
ER -

VIEWS PDF XML
19 35 downloads 6 downloads
  
  
           

Abstract

Iris recognition is considered as one of the reliable technique in biometric system to gain higher security. In this paper research is focusing on an efficient iris recognition technique. Iris of an eye image is segmented, unwrapped into a rectangular strip and normalized. Normalized iris is transformed into polar coordinate and filtered. A mask is applied for noise suppression and encoded using encoding technique. This encoded iris pattern features are extracted and template is generated. This final template is stored in the database and input image template pattern is matched using pattern matching technique. This experiment uses two standard database images CASIA V1.0 and IITD, the performance measure FAR and FRR for different threshold values is considered for the evaluation of the system.

Key-Words / Index Term

FAR, FRR, Feature Extraction, Wavelets Transform

References

[1] Sudha Gupta, Asst. Professor ,LMIETE, LMISTE, Viral Doshi, Abhinav Jain and Sreeram Iyer, K.J.S.C.E. Mumbai India,”Iris Recognition System using Biometric Template Matching Technology”, International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 12, pp. 3075-3083 2017© Research India Publications. http://www.ripublication.com
[2] Aditya Nigam, Lovish, Amit Bendale and Phalguni Gupta, “Efficient Iris Recognition System Using Relational Measures” Department of Computer Science and Engineering, Indian Institute of Technology Kanpur Kanpur 208016, INDIA fnaditya,lovishc,bendale,pgg@cse.iitk.ac.in
[3] Sunil Swamilingappa Harakannanavar1, C. R. Prashanth2, Vidyashree Kanabur3, Veena I. Puranikmath4 and K. B. Raja5,” An Extensive Study of Issues, Challenges and Achievements in Iris Recognition ” Asian Journal of Electrical Sciences ISSN: 2249-6297, Vol. 8, No. 1, pp. 25-35, 2019 © The Research Publication, www.trp.org.in
[4] Shailender Kumar1, Krishnanand Mishra2 and Rahul Vashisht3, ” Iris Recognition Based on Unique Iris Templates for Reliable Personal Authentication”, International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 12 pp. 3075-3083, 2017 © Research India Publications. http://www.ripublication.com
[5] Mohammed A. M. Abdullah, F. H. A. Al-Dulaimi, Waleed Al-Nuaimy & Ali Al-Aataby, “Efficient Small Template Iris Recognition System Using Wavelet Transform” International Journal of Biometrics and Bioinformatics (IJBB), Volume (5): Issue (1) 16.
[6] Sudha Gupta, Viral Doshi, Abhinav Jain and Sreeram Iyer,”Iris Recognition System using Biometric Template Matching Technology” © International Journal of Computer Applications (0975 – 8887) Volume 1 – No. 2, 2010
[7] Humayan Kabir Rana1, Md. Shafiul Azam2, Mst. Rashida Akhtar3 3 , Julian M.W. Quinn4, and Mohammad Ali Moni5, “A fast iris recognition system through 1 optimum feature extraction”, PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.27363v3 | CC BY 4.0 Open Access | rec: 23 Feb 2019, publ: 23 Feb 2019.
[8] D. Woodward, M. Orlans, T. Higgins “Biometrics”, McGraw-Hill, Barkeley, California, pp. 15-21, 2002.
[9] H. Proença, A. Alexandre. “Towards noncooperative iris recognition: A classification approach using multiple signatures”. IEEE Transaction on Pattern Analysis, 29(4): 607-.612, 2007.
[10] J. Daugman, ”High confidence visual recognition of persons by a test of statistical independence”. IEEE Transaction on Pattern Analysis, 15(11): 1148-1161, 1993.
[11] W. Boles, B. Boashash. “A Human Identification Technique Using Images of the Iris and Wavelet Transform”. IEEE Transactions on Signal Processing, 46(4): 1085–1088, 1998.
[12] S. Hariprasath, V. Mohan. “Biometric Personal Identification Based On Iris Recognition Using Complex Wavelet Transforms”. Proceedings of the 2008 International Conference on Computing, Communication and Networking (ICCCN) IEEE, 2008.
[13] A. Kumar, A. Passi. “Comparison and Combination of Iris Matchers for Reliable Personal Identification”. Computer Vision and Pattern Recognition Workshops, IEEE, 2008.
[14] Daugman, J.: Biometric personal identi_cation system based on iris analysis (Mar 11994), uS Patent.
[15] Sun, Z., Tan, T.: Ordinal measures for iris recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(12), 2211{2226, 2009.
[16] Masek, L., et al.: Recognition of human iris patterns for biometric identifcation. M. Thesis, The University of Western Australia, 2003.
[17] R. Wildes, J. Asmuth, G. Green, S. Hsu, and S. Mcbride. “A System for Automated IrisRecognition”, Proceedings IEEE Workshop on Applications of Computer Vision, Sarasota,FL, USA, 1994.
[18] K. Dmitry “Iris Recognition: Unwrapping the Iris”. The Connexions Project and Licensed Under the Creative Commons Attribution License, Version 1.3., 2004.
[19] L. Yu, D. Zhang, K. Wang and W. Yang, “Coarse iris classification using box-counting to estimate fractal dimensions”, International Journal on Pattern Recognition, Vol. 38, No. 11, pp. 1791-1798, 2005.
[20] http://www.jiristech.com/download/jpc_series.pdf
[21] http://biometrics.idealtest.org/findTotalDbByMode.do?mode=Iris