Iris Detection Using Segmentation Techniques

Authors

  • Taneja N Dept. of Computer Science and Engineering, Apex Institute of Technology, Chandigarh University, Punjab, India
  • Shabaz M Dept. of Computer Science and Engineering, Apex Institute of Technology, Chandigarh University, Punjab, India
  • Khajuria V Dept. of Computer Science and Engineering, Apex Institute of Technology, Chandigarh University, Punjab, India

DOI:

https://doi.org/10.26438/ijcse/v6i9.442444

Keywords:

Segmentation, Edgedetection, Houghtransform

Abstract

This paper introduces an approach to be adopted for the detection of iris from the medical image of human eye. The microscopic image of human eye is taken which consists of number of features such as pupil, retina, iris etc. Firstly image pre-processing is done on the input image so as to remove unwanted noise from it and then various image segmentation techniques such as edge detection, Hough transform etc. are applied for the efficient identification of the inner and outer boundary of iris. To efficiently detect iris boundary, accurate evaluation of circumference of iris in the human eye is required.

References

Navita Kamboj, Preeti Gupta,“A Review on Segmentation techniques for Iris Recognition System”, International Journal of Engineering and Management Research, Vol.5, pp. 14-16, 2015.

Mahmoud Mahlouji and Ali Noruzi,” Human Iris Segmentation for Iris Recognition in Unconstrained Environments “, International Journal of Computer Science Issues, Vol. 9, pp.149-152, 2012.

M. Karpaga Kani, Dr.T. Arumuga MariaDevi, “Iris Segmentation and Recognition System” International Journal of Advanced Research in Computer Engineering & Technology,Vol. 3, pp. 1-5, 2014.

D.Anitha,M.Suganthi and P.Suresh, “Image Processing of Eye to Identify the Iris Using Edge Detection Technique based on ROI and Edge Length”, International Conference on Signal, Image Processing and Applications, Vol. 21,pp.1 -5,2011.

Surjeet Singh, Kulbir Singh, “Segmentation Techniques for Iris Recognition System” ,International Journal of Scientific & Engineering Research Vol. 2, pp.1-8, 2011.

Nidhi Manchanda, Oves Khan, Rishita Rehlan and Jyotika Pruthi, ”A Survey: Various Segmentation Approaches to Iris Recognition”, International Journal of Information and Computation Technology,Vol. 3,pp.419-424,2013.

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Published

2018-09-30
CITATION
DOI: 10.26438/ijcse/v6i9.442444
Published: 2018-09-30

How to Cite

[1]
N. Taneja, M. Shabaz, and V. Khajuria, “Iris Detection Using Segmentation Techniques”, Int. J. Comp. Sci. Eng., vol. 6, no. 9, pp. 442–444, Sep. 2018.

Issue

Vol. 6 No. 9 (2018): IJCSE September Editor

Section

Research Article

License

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