Reducing dense local feature key-points for faster iris recognition-Reference-Cited by-同舟云学术

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Reducing dense local feature key-points for faster iris recognition

Published:2018-08 Issue: Volume:70 Page:939-949
ISSN:0045-7906
Container-title:Computers & Electrical Engineering
language:en
Short-container-title:Computers & Electrical Engineering

Author:

Sahu Beeren,Kumar Sa Pankaj^ORCID,Bakshi Sambit,Sangaiah Arun Kumar

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference26 articles.

1. Artificial intelligence and computer vision;Lu,2017

2. Handbook of biometrics;Jain,2007

3. Security through human-factors and biometrics;Bakshi,2013

4. Robust description and matching of images;Gilles,1999

5. Object recognition from local scale-invariant features;Lowe,1999

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1. Efficient, accurate and fast pupil segmentation for pupillary boundary in iris recognition;Advances in Engineering Software;2023-01

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3. Iris feature extraction using three-level Haar wavelet transform and modified local binary pattern;Applications of Computational Intelligence in Multi-Disciplinary Research;2022

4. Iris Recognition Development Techniques: A Comprehensive Review;Complexity;2021-08-23

5. A Systematic Review on Physiological-Based Biometric Recognition Systems: Current and Future Trends;Archives of Computational Methods in Engineering;2021-02-23

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