smart iris recognition

This paper investigates a deep learning based unified framework for accurate sclera segmentation and recognition, named Sclera-TransFuse. Unlike previous CNN-based methods, our framework incorporates Vision Transformer and CNN to extract …

Boosting multi-modal ocular recognition via spatial feature reconstruction and unsupervised image quality estimation, CASIA-Iris-Africa: A Large-scale African Iris Image Database, Multi-Faceted Knowledge-Driven Graph Neural Network for Iris Segmentation

Sclera-TransFuse: Fusing Swin Transformer and CNN for Accurate Sclera Segmentation

Multiscale Dynamic Graph Representation for Biometric Recognition with Occlusions, Iris-GuideNet: Guided Localisation and Segmentation Network for Unconstrained Iris Biometrics

Iris images captured in less-constrained environments, especially at long distances often suffer from the interference of low resolution, resulting in the loss of much valid iris texture information for iris recognition. In this paper, we propose a …

The iris patterns of the human contain a large amount of randomly distributed and irregularly shaped microstructures. These microstructures make the human iris informative biometric traits. To learn identity representation from them, this paper …

Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring

As biometric data undergo rapidly growing privacy concerns, building large-scale datasets has become more difficult. Unfortunately, current iris databases are mostly in small scale, e.g., thousands of iris images from hundreds of identities. What's …

Towards Interpretable Defense Against Adversarial Attacks via Causal Inference, FedIris: Towards More Accurate and Privacy-preserving Iris Recognition via Federated Template Communication

Towards More Discriminative and Robust Iris Recognition by Learning Uncertain Factors, Multitask deep active contour-based iris segmentation for off-angle iris images