Efficient method for segmentation of noisy and non‐circular iris images using improved particle swarm optimisation‐based MRFCM-Reference-Cited by-同舟云学术

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Efficient method for segmentation of noisy and non‐circular iris images using improved particle swarm optimisation‐based MRFCM

Published:2020-02-11 Issue:2 Volume:9 Page:78-90
ISSN:2047-4938
Container-title:IET Biometrics
language:en
Short-container-title:IET biom.

Author:

Satish Rapaka¹^ORCID,Kumar P. Rajesh²

Affiliation:

1. Department of Electronics and Communication EngineeringSir C.R.R. College of EngineeringEluru 534 007Andhra PradeshIndia

2. Electronics and Communication Engineering Department, College of EngineeringAndhra University (Autonomous)Visakhapatnam530 003Andhra PradeshIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-bmt.2019.0026

Reference37 articles.

1. New Methods in Iris Recognition

2. How Iris Recognition Works

3. Towards nonideal iris recognition based on level set method, genetic algorithms and adaptive asymmetrical SVMs

4. Iris Segmentation Using Geodesic Active Contours

5. Efficient iris segmentation method in unconstrained environments;Sahmoud S.A.;Pattern Recognit.,2013

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1. Real time iris segmentation quality evaluation using medoids;Pattern Recognition;2023-05

2. An Optimal Cluster Fusion and Morphological Segmentation Technique for IRIS Recognition;2022 IEEE International Conference on Current Development in Engineering and Technology (CCET);2022-12-23

3. An efficient approach for anti-jamming in IRNSS receivers using improved PSO based parametric wavelet packet thresholding;Satellite Navigation;2022-10-10

4. A new segmentation method for non-ideal iris images using morphological reconstruction FCM based on improved DSA;SN Applied Sciences;2021-01

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