A Wearable Wrist Band-Type System for Multimodal Biometrics Integrated with Multispectral Skin Photomatrix and Electrocardiogram Sensors [PDF]
Sensors, 2018 Multimodal biometrics are promising for providing a strong security level for personal authentication, yet the implementation of a multimodal biometric system for practical usage need to meet such criteria that multimodal biometric signals should be easy
Ian Oakley +2 more
exaly +4 more sources
Evaluation of Decision Fusion Methods for Multimodal Biometrics in the Banking Application [PDF]
Sensors, 2022 An evaluation of decision fusion methods based on Dempster-Shafer Theory (DST) and its modifications is presented in the article, studied over real biometric data from the engineered multimodal banking client verification system.
Andrzej Czyzewski, Piotr Szczuko
exaly +4 more sources
Trends and Prospects of Biometrics: From Sensing to Perception and Cognition [PDF]
SensorsBiometrics technology is undergoing a paradigm shift from static single-modal authentication to continuous multimodal sensing, combined with higher-performing algorithms powered by new deep learning techniques.
Zhicheng Cao +2 more
doaj +2 more sources
Unobtrusive Behavioral and Activity-Related Multimodal Biometrics: The ACTIBIO Authentication Concept [PDF]
The Scientific World Journal, 2011 Unobtrusive Authentication Using ACTIvity-Related and Soft BIOmetrics (ACTIBIO) is an EU Specific Targeted Research Project (STREP) where new types of biometrics are combined with state-of-the-art unobtrusive technologies in order to enhance security in ...
A. Drosou +3 more
doaj +2 more sources
Cancelable Multimodal Biometrics Based on Chaotic Maps
Applied Sciences (Switzerland), 2021 Biometric authentication systems raise certain concerns with regard to security, violation of privacy, and storage issues of biometric templates. This paper proposes a protection approach of biometric templates storage in a multimodal biometric system ...
Sanaa Ghouzali +2 more
exaly +3 more sources
Deep Feature Fusion of Fingerprint and Online Signature for Multimodal Biometrics
Computers, 2021 The extensive research in the field of multimodal biometrics by the research community and the advent of modern technology has compelled the use of multimodal biometrics in real life applications.
Asghar Ali +2 more
exaly +3 more sources
Fuzzy Vaults in Biometric Cryptosystems: A Survey of Techniques, Performance, and Applications [PDF]
SensorsBiometric sensing systems enable accurate identity recognition using unique physiological traits. These systems can be unimodal (single trait) or multimodal (multiple traits, such as iris and fingerprint).
Faria Farheen +3 more
doaj +2 more sources
Intelligent multimodal 3D biometric recognition using PointNet + + for robust face–ear authentication [PDF]
Scientific ReportsIn real-world applications, the reliability of biometric recognition systems that are based on 2D modalities is typically reduced due to limitations such as sensitivity to changes in illumination, facial expressions, and occlusion among other things.
Veerpal Kaur +3 more
doaj +2 more sources
Graph Fusion for Finger Multimodal Biometrics [PDF]
IEEE Access, 2019 In terms of biometrics, a human finger itself is with trimodal traits including fingerprint, finger-vein, and finger-knuckle-print, which provides convenience and practicality for finger trimodal fusion recognition.
Haigang Zhang +3 more
doaj +2 more sources
Deep Hashing for Secure Multimodal Biometrics [PDF]
IEEE Transactions on Information Forensics and Security, 2021 When compared to unimodal systems, multimodal biometric systems have several advantages, including lower error rate, higher accuracy, and larger population coverage. However, multimodal systems have an increased demand for integrity and privacy because they must store multiple biometric traits associated with each user. In this paper, we present a deep
Matthew Valenti +2 more
exaly +4 more sources