Performance evaluation of efficient segmentation and classification based iris recognition using sheaf attention network-Reference-Cited by-同舟云学术

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Performance evaluation of efficient segmentation and classification based iris recognition using sheaf attention network

Published:2024-08 Issue: Volume:103 Page:104262
ISSN:1047-3203
Container-title:Journal of Visual Communication and Image Representation
language:en
Short-container-title:Journal of Visual Communication and Image Representation

Author:

Salve Sushilkumar S.,Narote Sandipann P

Publisher

Elsevier BV

Reference31 articles.

1. K. Nguyen, H. Proença, F. Alonso-Fernandez, Deep Learning for Iris Recognition: A Survey. arXiv Preprint arXiv:2210.05866. (2022).

2. Towards more discriminative and robust iris recognition by learning uncertain factors;Wei;IEEE Trans. Inf. Forensics Secur.,2022

3. Efficient, accurate and fast pupil segmentation for pupillary boundary in Iris recognition;Jamaludin;Adv. Eng. Softw.,2023

4. Comparison of feature extraction technique for segmentation in human iris recognition under uncontrolled environment using CNN algorithm with SVM classifier;Karthik;ECS Trans.,2022

5. Post-mortem iris recognition—a survey and assessment of the state of the art;Boyd;IEEE Access,2020

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