Efficient approach for non‐ideal iris segmentation using improved particle swarm optimisation‐based multilevel thresholding and geodesic active contours-Reference-Cited by-同舟云学术

Efficient approach for non‐ideal iris segmentation using improved particle swarm optimisation‐based multilevel thresholding and geodesic active contours

Published:2018-10 Issue:10 Volume:12 Page:1721-1729
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Rapaka Satish¹,Kumar Pullakura Rajesh²

Affiliation:

1. Department of Electronics and Communications EngineeringSir C R Reddy College of EngineeringEluruAndhra Pradesh534007India

2. Department of Electronics and Communications EngineeringCollege of Engineering, Andhra UniversityVisakhapatnamAndhra Pradesh530003India

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2016.0917

Reference35 articles.

1. FlomL. andSafirA.: ‘Iris recognition system’. US Patent 4 641 349 1987

2. European Commission Joint Research Center: ‘Biometrics at the frontiers: assessing the impact on society’.2005 p.166

3. How Iris recognition works;Daugman J.;Essent. Guid. Image Process.,2009

4. Iris recognition: an emerging biometric technology

5. MasekL. andKovesiP.: ‘A biometric identification system based on iris patterns’.The School of Computer Science and Software Engineering The University of Westrern Australia 2003

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