Unimodal and multimodal biometric sensing systems: a review
MO Oloyede, GP Hancke - IEEE access, 2016 - ieeexplore.ieee.org
Biometric systems are used for the verification and identification of individuals using their
physiological or behavioral features. These features can be categorized into unimodal and …
physiological or behavioral features. These features can be categorized into unimodal and …
Knuckle print biometrics and fusion schemes--overview, challenges, and solutions
Numerous behavioral or physiological biometric traits, including iris, signature, hand
geometry, speech, palm print, face, etc. have been used to discriminate individuals in a …
geometry, speech, palm print, face, etc. have been used to discriminate individuals in a …
Cross-spectral iris recognition using CNN and supervised discrete hashing
Completely automated iris recognition has emerged as an integral part of e-business and e-
governance infrastructure which has acquired billions of iris images under near-infrared …
governance infrastructure which has acquired billions of iris images under near-infrared …
Face and gait biometrics authentication system based on simplified deep neural networks
Research on biometric methods has gained momentum due to the increase in security
concerns. Face and gait biometrics are two biometrics that are safe and non-invasive in …
concerns. Face and gait biometrics are two biometrics that are safe and non-invasive in …
Multimodal biometrics: Weighted score level fusion based on non-ideal iris and face images
The iris and face are among the most promising biometric traits that can accurately identify a
person because their unique textures can be swiftly extracted during the recognition …
person because their unique textures can be swiftly extracted during the recognition …
Robust multimodal biometric system based on optimal score level fusion model
Multimodal biometric systems fuse information from multiple modalities to overcome
limitations of individual classifiers. Score level fusion of multiple classifiers can effectively …
limitations of individual classifiers. Score level fusion of multiple classifiers can effectively …
Quality measures in biometric systems
F Alonso-Fernandez, J Fierrez… - IEEE Security & …, 2011 - ieeexplore.ieee.org
Biometric technology has been increasingly deployed in the past decade, offering greater
security and convenience than traditional methods of personal recognition. Although …
security and convenience than traditional methods of personal recognition. Although …
Face recognition with liveness detection using eye and mouth movement
The recent literature on face recognition technology discusses the issue of face spoofing
which can bypass the authentication system by placing a photo/video/mask of the enrolled …
which can bypass the authentication system by placing a photo/video/mask of the enrolled …
Privacy and biometrics: An empirical examination of employee concerns
D Carpenter, A McLeod, C Hicks… - Information Systems …, 2018 - Springer
Advances in authentication technology have led to a proliferation of biometric-based
systems in the workplace. Although biometric technologies offer organizations a cost …
systems in the workplace. Although biometric technologies offer organizations a cost …
Synthesis and reconstruction of fingerprints using generative adversarial networks
R Bouzaglo, Y Keller - arXiv preprint arXiv:2201.06164, 2022 - arxiv.org
Deep learning-based models have been shown to improve the accuracy of fingerprint
recognition. While these algorithms show exceptional performance, they require large-scale …
recognition. While these algorithms show exceptional performance, they require large-scale …