Conference Paper2012Cited by 2

Biometric authentication using circular segment around optical disc

M Islamuddin Ahmed, M Abdul Awal, M Ashraful Amin

2012 International Conference on Informatics, Electronics & Vision (ICIEV)

IEEE, pp. 178–183

DOI: 10.1109/iciev.2012.6317387URL

Abstract

In this paper we have proposed a method for biometric authentication using semi-circular segment around retinal fundus optical disc. It is noted that thickness and density of blood vessels are most prominent in close proximity regions around the optical disc since blood vessels enter retina through optical disc. The idea of using these spatial arrangements of blood vessels as feature provides us with uniqueness. Images in RGB and YCbCr color spaces are tested in two separate experiments. The first experiment (Exp-I) resulted in 84.2% accuracy using RGB and in the second experiment (Exp-II), 89.2% accuracy was achieved, in YCbCr color space. The average time taken is 10.25 seconds.

Keywords

  • blood vessel density
  • RGB color space
  • YCbCr color space
  • biometric authentication
  • retinal fundus
  • optical disc
  • retinal recognition

CCDS Authors

Prof. M Ashraful Amin, PhD
M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

  • Founder Director, CCDS
  • Director, AI/ML, HCI & DS Wings

Professor

+1 more affiliation

Department of Information Sciences and Technology

George Mason University, USA

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

References

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Cited By

  1. 1.Sarah N Abdulkader, Ayman Atia, Mostafa-Sami M Mostafa. (2015). Authentication systems: principles and threats. Computer and Information Science, 8(3)[10.5539/cis.v8n3p155]
  2. 2.Songlin Yan, Ju Huang, Xiaoying Tang, Xuebing Chi. (2021). Fundus Image Segmentation Using Step Time Signal Polynomial Fitting. 2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC), 60, 985–992[10.1109/ipec51340.2021.9421169]
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