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A multimodal biometric system using match score and decision level fusion
Unimodal Biometrics is well known as a booming technology that measures and analyzes the physical traits of a human being for verification and...
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Score-Level Fusion Based on Classification Tree for Improving Iris Verification Systems
Iris verification has long been considered the most reliable biometric verification technology. The iris verification system compares a feature...
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A Score-Level Fusion Method for Protecting Fingerprint and Palmprint Templates
Today computers are in virtually everything we touch. With this increased use of computers, there is a need for secure authentication of the users...
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Artificial intelligence-Enabled deep learning model for multimodal biometric fusion
The goal of information security is to prevent unauthorized access to data. There are several conventional ways to confirm user identity, such as...
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On Comparing Early and Late Fusion Methods
This paper presents a theoretical comparison of early and late fusion methods. An initial discussion on the conditions to apply early or late (soft...
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Identifying a Person in Mask: Fusion of Masked Face and Iris
In a face recognition system, effect of occlusion due to a face mask can be mitigated by fusing other available biometric information (such as the...
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Multimodal Biometric Fusion Algorithm Based on Ranking Partition Collision Theory
Score-based multimodal biometric fusion has been shown to be successful in addressing the problem of unimodal techniques’ vulnerability to attack and...
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Presentation attack detection based on score level fusion and challenge-response technique
Biometrics is the state of the art in dealing with identity identification and verification based on the physical and behavioral characteristics and...
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Human palm vein authentication using curvelet multiresolution features and score level fusion
Human authentication plays a crucial role in sensitive applications like ATM usage, entry into a secured area, attendance and many more. A novel...
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U-Net-based RGB and LiDAR image fusion for road segmentation
Drivable road detection is a fundamental problem for autonomous vehicles. RGB cameras and LiDAR are the mostly used data sources in road detection....
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Multimodal Entity Linking with Mixed Fusion Mechanism
Many efficient multimodal entity linking (MEL) methods have been developed in recent years. However, most MEL methods still suffer from two...
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Extensive Threat Analysis of Vein Attack Databases and Attack Detection by Fusion of Comparison Scores
The last decade has brought forward many great contributions regarding presentation attack detection for the domain of finger and hand vein...
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JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation
Part-aware panoptic segmentation is a problem of computer vision that aims to provide a semantic understanding of the scene at multiple levels of...
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Three-Dimensional Medical Image Fusion with Deformable Cross-Attention
Multimodal medical image fusion plays an instrumental role in several areas of medical image processing, particularly in disease recognition and...
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Ternary symmetric fusion network for camouflaged object detection
Camouflage object detection (COD) is designed to locate objects that are “seamlessly” embedded in the surrounding environment. Camouflaged object...
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Data fusion and network intrusion detection systems
The increasing frequency and sophistication of cyber-attacks pose significant threats to organizational entities and critical national...
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Human pose estimation based on cross-view feature fusion
Multi-view human pose estimation can achieve high accuracy by leveraging complex spatial information from multiple perspectives. However, increasing...
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Spatiotemporal heterogeneous information fusion model for loitering anomaly detection
In the field of video surveillance security in public places, loitering anomaly detection plays a crucial role. Currently, the complexity of public...
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DAFDeTr: Deformable Attention Fusion Based 3D Detection Transformer
Existing approaches fuse the LiDAR points and image pixels by hard association relying on highly accurate calibration matrices. We propose Deformable...
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Exploiting Style Transfer and Semantic Segmentation to Facilitate Infrared and Visible Image Fusion
Image fusion integrates different imaging sources to generate one with improved scene representation or visual perception, supporting advanced vision...