Deep learning for iris recognition: A survey
In this survey, we provide a comprehensive review of more than 200 articles, technical
reports, and GitHub repositories published over the last 10 years on the recent …
reports, and GitHub repositories published over the last 10 years on the recent …
Deepfake Catcher: Can a Simple Fusion be Effective and Outperform Complex DNNs?
Despite having completely different configurations deep learning architectures learn a
specific set of features that are common across architectures. For example the initial few …
specific set of features that are common across architectures. For example the initial few …
Iris presentation attack detection by attention-based and deep pixel-wise binary supervision network
Iris presentation attack detection (PAD) plays a vital role in iris recognition systems. Most
existing CNN-based iris PAD solutions 1) perform only binary label supervision during the …
existing CNN-based iris PAD solutions 1) perform only binary label supervision during the …
Enhanced iris presentation attack detection via contraction-expansion CNN
The vulnerability of iris recognition algorithms against presentation attacks including
textured contact lens is a serious concern. Several presentation attack detection (PAD) …
textured contact lens is a serious concern. Several presentation attack detection (PAD) …
Generalized contact lens iris presentation attack detection
The high accuracy of iris recognition for person identification has led to its deployment for a
variety of applications ranging from border access to mobile unlocking to digital payment. In …
variety of applications ranging from border access to mobile unlocking to digital payment. In …
Synthesizing Iris Images using Generative Adversarial Networks: Survey and Comparative Analysis
Biometric systems based on iris recognition are currently being used in border control
applications and mobile devices. However, research in iris recognition is stymied by various …
applications and mobile devices. However, research in iris recognition is stymied by various …
Misclassifications of contact lens iris PAD algorithms: Is it gender bias or environmental conditions?
One of the critical steps in biometrics pipeline is detection of presentation attacks, a physical
adversary. Several presentation (adversary) attack detection (PAD) algorithms, including iris …
adversary. Several presentation (adversary) attack detection (PAD) algorithms, including iris …
[PDF][PDF] 基于循环注意力机制的隐形眼镜虹膜防伪检测方法
吕梦凌， 何玉青， 杨峻凯， 金伟其， 张丽君 - Acta Optica Sinica, 2022 - researching.cn
摘要虹膜纹理容易被纹理隐形眼镜隐藏甚至伪造, 进而对虹膜识别系统的安全性构成了威胁.
针对真实虹膜与纹理隐形眼镜伪造虹膜光学特性和纹理特征差异较小的问题 …
针对真实虹膜与纹理隐形眼镜伪造虹膜光学特性和纹理特征差异较小的问题 …
Deepfake: Classifiers, fairness, and demographically robust algorithm
Deepfake detection research has seen tremendous success and has achieved remarkably
high performance on a few existing datasets. However, the significant drawback of the …
high performance on a few existing datasets. However, the significant drawback of the …
Robust IRIS presentation attack detection through stochastic filter noise
The vulnerability of iris recognition algorithms against presentation attacks demands a
robust defense mechanism. Much research has been done in the literature to create a robust …
robust defense mechanism. Much research has been done in the literature to create a robust …