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Iris localization using local histogram and other image statistics

  • Published:2012-05 Issue:5 Volume:50 Page:645-654
  • ISSN:0143-8166
  • Container-title:Optics and Lasers in Engineering
  • language:en
  • Short-container-title:Optics and Lasers in Engineering

Author:

Ibrahim Muhammad Talal,Khan Tariq M.,Khan Shahid A.,Khan M. Aurangzeb,Guan Ling

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference30 articles.

1. An introduction to biometric recognition;Jain;IEEE Trans Circuits Syst Video Technol,2004

2. High confidence visual recognition of person by a test of statistical independence;Daugman;IEEE Trans Pattern Anal Mach Intell,1993

3. Iris recognition: the path forward;Ross;IEEE Comput,2010

4. The importance of being random: statistical principles of iris recognition;Daugman;IEEE Trans Pattern Recognition,2003

5. A machine vision system for iris recognition;Wildes;Mach Vision Appl,1996

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1. Research on Iris Feature Extraction and Recognition Technology Based on Deep Learning;International Journal of Advanced Network, Monitoring and Controls;2023-09-01

2. Robust and Swift Iris Recognition at distance based on novel pupil segmentation;Journal of King Saud University - Computer and Information Sciences;2022-11

3. Performance boosting of image matching-based iris recognition systems using deformable circular hollow kernels and uniform histogram fusion images;Journal of Electronic Imaging;2022-10-28

4. Attention meta-transfer learning approach for few-shot iris recognition;Computers and Electrical Engineering;2022-04

5. A low complexity Iris localization algorithm for Iris biometrics;Multimedia Tools and Applications;2022-02-23
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