Papers Finger Vein Recognition
“Finger Vein Recognition” 태그가 달린 논문 15편 · 필터 해제
Motion Transfer-Driven intra-class data augmentation for Finger Vein Recognition
Finger vein recognition (FVR) has emerged as a secure biometric technique because of the confidentiality of vascular bio-information. Recently, deep learning-based FVR has gained increased popularity and achieved promisi…
Data AugmentationFinger Vein RecognitionImage GenerationOptical Flow EstimationCFVNet: An End-to-End Cancelable Finger Vein Network for Recognition
Finger vein recognition technology has become one of the primary solutions for high-security identification systems. However, it still has information leakage problems, which seriously jeopardizes users privacy and anony…
Finger Vein RecognitionPAFedFV: Personalized and Asynchronous Federated Learning for Finger Vein Recognition
With the increasing emphasis on user privacy protection, biometric recognition based on federated learning have become the latest research hotspot. However, traditional federated learning methods cannot be directly appli…
Federated LearningFinger Vein Recognition$\textit{sweet}$- An Open Source Modular Platform for Contactless Hand Vascular Biometric Experiments
Current finger-vein or palm-vein recognition systems usually require direct contact of the subject with the apparatus. This can be problematic in environments where hygiene is of primary importance. In this work we prese…
Finger Vein Recognition3D printed realistic finger vein phantoms
Finger vein pattern recognition is an emerging biometric with a good resistance to presentation attacks and low error rates. One problem is that it is hard to obtain ground truth finger vein patterns from live fingers. I…
Finger Vein RecognitionResidual Feature Pyramid Network for Enhancement of Vascular Patterns
The accuracy of finger vein recognition systems gets degraded due to low and uneven contrast between veins and surroundings, often resulting in poor detection of vein patterns. We propose a finger-vein enhancement techni…
Finger Vein RecognitionAnalysis of Master Vein Attacks on Finger Vein Recognition Systems
Finger vein recognition (FVR) systems have been commercially used, especially in ATMs, for customer verification. Thus, it is essential to measure their robustness against various attack methods, especially when a hand-c…
Finger Vein RecognitionArtificial Neural Networks for Finger Vein Recognition: A Survey
Finger vein recognition is an emerging biometric recognition technology. Different from the other biometric features on the body surface, the venous vascular tissue of the fingers is buried deep inside the skin. Due to t…
Feature EngineeringFinger Vein RecognitionSurveyDeep Learning for Finger Vein Recognition: A Brief Survey of Recent Trend
Finger vein image recognition technology plays an important role in biometric recognition and has been successfully applied in many fields. Because veins are buried beneath the skin tissue, finger vein image recognition …
Finger Vein RecognitionFV-UPatches: Enhancing Universality in Finger Vein Recognition
Many deep learning-based models have been introduced in finger vein recognition in recent years. These solutions, however, suffer from data dependency and are difficult to achieve model generalization. To address this pr…
Finger Vein RecognitionConvolutional Neural Network with Convolutional Block Attention Module for Finger Vein Recognition
Convolutional neural networks have become a popular research in the field of finger vein recognition because of their powerful image feature representation. However, most researchers focus on improving the performance of…
Finger Vein RecognitionFinger Vein Recognition by Generating Code
Finger vein recognition has drawn increasing attention as one of the most popular and promising biometrics due to its high distinguishes ability, security and non-invasive procedure. The main idea of traditional schemes …
Finger Vein RecognitionImage SegmentationSemantic SegmentationA Local Descriptor with Physiological Characteristic for Finger Vein Recognition
Local feature descriptors exhibit great superiority in finger vein recognition due to their stability and robustness against local changes in images. However, most of these are methods use general-purpose descriptors tha…
Finger Vein RecognitionDetecting Finger-Vein Presentation Attacks Using 3D Shape & Diffuse Reflectance Decomposition
Despite the high biometric performance, finger-vein recognition systems are vulnerable to presentation attacks (aka., spoofing attacks). In this paper, we present a new and robust approach for detecting presentation atta…
BenchmarkingFinger Vein RecognitionICFVR 2017: 3rd International Competition on Finger Vein Recognition
In recent years, finger vein recognition has become an important sub-field in biometrics and been applied to real-world applications. The development of finger vein recognition algorithms heavily depends on large-scale r…
Finger Vein Recognition