Hybrid CNN-ViT integration into Siamese networks for robust iris biometric verification
Iris recognition has emerged as a critical biometric verification method, valued for its high accuracy and resistance to forgery. However, traditional convolutional neural network (CNN)-based models, despite their strength in extracting local iris features, struggle to capture global dependencies, w...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en en |
| Published: |
Institute of Advanced Engineering and Science (IAES)
2025
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/122656/7/122656_Hybrid%20CNN-ViT%20integration.pdf http://irep.iium.edu.my/122656/13/122656_Hybrid%20CNN-ViT%20integration_Scopus.pdf http://irep.iium.edu.my/122656/ https://beei.org/index.php/EEI/article/view/9182 |
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