FISNET: A Learnable Fusion-Based Iris Segmentation Network Improving Robustness Across NIR and VIS Modalities
Iris is one of the most distinctive biometric traits used for reliable identity verification in applications such as border control, secure access systems, and national ID programs. The primary challenge in iris recognition is the reliable segmentation of the iris region from the eye image. Segmenti...
Saved in:
| Main Authors: | Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam, Raghavendra Ramachandra |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11029274/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Robust and Swift Iris Recognition at distance based on novel pupil segmentation
by: Ahmed Khudhur Nsaif, et al.
Published: (2022-11-01) -
Review of iris segmentation and recognition using deep learning to improve biometric application
by: Rasheed Hind Hameed, et al.
Published: (2023-12-01) -
Presentation Attack Detection using iris periocular visual spectrum images
by: Andrés Valenzuela, et al.
Published: (2024-12-01) -
Generating an Iris-based Seed for Key-pairs in a Blockchain Platform
by: Marco Fiore, et al.
Published: (2025-06-01) -
Gender Classification Based on Iris Recognition Using Artificial Neural Networks
by: Basna Mohammed Salih, et al.
Published: (2021-05-01)