Detection and Localization of Iris using Digital Image Processing Techniques

Authors

  • Ashwini Chate Shri Jagdishprasad Jhabarmal Tibrewala University, Rajasthan, India
  • Pramod Kumar Shri Jagdishprasad Jhabarmal Tibrewala University, Rajasthan, India
  • Sushilkumar Holambe Shri Jagdishprasad Jhabarmal Tibrewala University, Rajasthan, India

DOI:

https://doi.org/10.26438/ijcse/v9i7.7477

Keywords:

Iris, localization, Image Processing

Abstract

Аn аutоmаted methоd utilized fоr biоmetriс identifiсаtiоn whiсh inсludes vаriоus mаthemаtiсаl раttern- reсоgnitiоn methоds in it is knоwn аs the iris reсоgnitiоn methоd. The videоs оf the irises оf vаriоus individuаl’s eyes аre studied in this teсhnique. The соmрlex rаndоm раtterns рresent within this аррrоасh аre single, соnstаnt mоreоver саn аs well viewed frоm а раrtiсulаr distаnсe. In the bаse рарer, intensity trаnsfоrmаtiоn is аррlied with edge deteсtiоn. The image processing techniques are аррlied whiсh will extrасt the соntrаst, energy, entrорy аnd heterоgeneity оf the deteсted iris hаs been саlсulаted. Tо inсreаse the ассurасy оf iris deteсtiоn аnd reduсe exeсutiоn time, imрrоvement in existing аlgоrithm, feаture extrасtiоn teсhnique is being рrороsed also evaluated the ROC curve for performance analysis and achieved 0.81 area under curve.

References

1] Jafar M.H.Ali, Aboul Ella Hassanien, An Iris Recognition

System to Enhance E-security Environment Based on Wavelet

Theory, Advanced Modeling and Optimization, Vol 5, No.2

,2003.

[2] S.V.Sheela, P.A. Vijaya, Iris Recognition Methods- Survey,

International Journal of Computer Application, vol. 3, -No. 5,

June 2010.

[3] Hanho Sung, J. Lim, J. Park, Y. Lee, Iris recognition using

Collarette Boundary Localization, Proceedings of the 17th

international conference on Pattern Recognition (ICPR 04).

[4] Xiaoyan Yuan, Pengfei Shi, Efficient Iris Recognition System

based on iris anatomical Structure, IEICE Electronics Express,

Vol. 4, No. 17, 2007

[5] Habibeh Naderi, Behrouz Haji Soleimani, Babak Nadjar Araabi

and Hamid Soltanian Zadeh, “Fusing Iris, Palmprint and

Fingerprint in a Multi-Biometric Recognition System”, IEEE

International Conference on Computer and Robot vision, ISBN

5090-2491, pp. 327-334, 2016.

[6] Chiara Galdi and Jean-Luc Dugelay, “Fusing Iris Colour and

Texture information for fast Iris Recognition on mobile

devices,” IEEE International conference on Pattern Recognition,

ISBN 50903- 4847, pp. 160-164, 2016.

[7] Sarika B Solanke and Ratnadeep R Deshmukh, “Biometrics-Iris

Recognition System: A Study of Promising Approach for

Secured Authentication,” IEEE International Conference on

Computong for Sustainable Global Development, ISBN 3805-

4421, pp. 811-814, 2016

[8] Y. J. Lee and J. Yoon, “Image zooming method using

edgedirected moving least squares interpolation based on

exponential polynomials,” Applied Mathematics and

Computation, vol. 26 issue 9, pp. 569–583, September 2015.

[9] Huseyin Nasifoglu, Osman Erogul, Gokce Kaan Atac, and Galip

Ozdemir, “Multi-Regional Adaptive Image Compression (AIC)

for Hip Fractures in Pelvis Radiography”, Springer Nature

Singapore Pte Ltd. 61, CMBEBIH, IFMBE Proceedings 62, Vol

4, pp. 12-16, 2017.

[10] Rocky Yefrenes, Dillakr Martini and Ganantowe intiri, “A

Novel Approach for Iris Recognition,” IEEE Region

Symposium, ISBN 5090-0931, pp. 231- 236, 2016.

[11] Neda Ahmadi, Gholamreza Akbarizadeh, “Hybrid robust iris

recognition approach using iris image preprocessing, two-

dimensional gabor features and multi-layer perceptron neural

network/PSO”, IET Biom., Vol. 7 Iss. 2, pp. 153-162, 2018.

[12] Sunil S. Harakannanavar, Veena I Puranikmath, “Comparative

Survey of Iris Recognition”, 2017 International Conference on

Electrical, Electronics, Communication, Computer and

Optimization Techniques (ICEECCOT), vol. 3, issue 1, pp. 42-

53, 2017.

[13] N. Pattabhi Ramaiah, Ajay Kumar,” Towards More Accurate

Iris Recognition using Cross-Spectral Matching”, vol. 5, issue 3,

pp. 12-23, 2016.

[14] Yang Hu, Konstantinos Sirlantzis, and Gareth Howells,”

Optimal Generation of Iris Codes for Iris Recognition”, vol. 7,

issue 1, pp. 33-45, 2016.

[15] Jagadeesh N., 2Dr. Chandrasekhar M. Patil, “Iris recognition

system development using Matlab”, 2017 International

Conference on Computing Methodologies and Communication

(ICCMC), vol. 6, issue 1, pp. 12-19, 2017.

[16] Mohamed ahmed ali alhamrouni, “iris recognition by using

image processing techniques”, vol. 6, issue 3, pp. 12-23, 2017.

[17] Iliana V. Voynichka, and Dalila B. Megherbi,” Analysis of the

Effect of Selecting Statistically Significant Registered Image

Pixels on Individual Face Physiognomy Recognition Accuracy”,

2016, IEEE, 978-1-5090-0770

[18] Jianxu Chen, Feng Shen, Danny Z. Chen and Patrick J. Flynn,”

Iris Recognition Based on HumanInterpretable Features”, 2015,

IEEE, 1556-6013

[19] Peter Chondro, Hao-Chun Hu, Hsuan-Yen Hung, Shin-Yuan

Chang, Lieber Po-Hung Li, and ShanqJang Ruan,” An Effective

Occipitomental View Enhancement Based on Adaptive

Morphological Texture Analysis”, 2016, IEEE, 2168-2194

[20] Juan E. Tapia, Claudio A. Perez, Kevin W. Bowyer,” Gender

Classification from the Same Iris Code Used for Recognition”,

2015, IEEE, 1556-6013

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Published

2021-07-31
CITATION
DOI: 10.26438/ijcse/v9i7.7477
Published: 2021-07-31

How to Cite

[1]
A. Chate, P. Kumar, and S. Holambe, “Detection and Localization of Iris using Digital Image Processing Techniques”, Int. J. Comp. Sci. Eng., vol. 9, no. 7, pp. 74–77, Jul. 2021.

Issue

Vol. 9 No. 7 (2021): IJCSE July Edition

Section

Research Article

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