[HTML][HTML] Multi-factor authentication: A survey

A Ometov, S Bezzateev, N Mäkitalo, S Andreev… - Cryptography, 2018 - mdpi.com
Today, digitalization decisively penetrates all the sides of the modern society. One of the key
enablers to maintain this process secure is authentication. It covers many different areas of a …

Deep learning for iris recognition: A survey

K Nguyen, H Proença, F Alonso-Fernandez - ACM Computing Surveys, 2024 - dl.acm.org
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 …

Deep representations for iris, face, and fingerprint spoofing detection

D Menotti, G Chiachia, A Pinto… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
Biometrics systems have significantly improved person identification and authentication,
playing an important role in personal, national, and global security. However, these systems …

Image quality assessment for fake biometric detection: Application to iris, fingerprint, and face recognition

J Galbally, S Marcel, J Fierrez - IEEE transactions on image …, 2013 - ieeexplore.ieee.org
To ensure the actual presence of a real legitimate trait in contrast to a fake self-manufactured
synthetic or reconstructed sample is a significant problem in biometric authentication, which …

SDUMLA-HMT: A multimodal biometric database

Y Yin, L Liu, X Sun - … Recognition: 6th Chinese Conference, CCBR 2011 …, 2011 - Springer
In this paper, the acquisition and content of a new homologous multimodal biometric
database are presented. The SDUMLA-HMT database consists of face images from 7 view …

[HTML][HTML] Text-dependent speaker verification: Classifiers, databases and RSR2015

A Larcher, KA Lee, B Ma, H Li - Speech Communication, 2014 - Elsevier
The RSR2015 database, designed to evaluate text-dependent speaker verification systems
under different durations and lexical constraints has been collected and released by the …

[图书][B] Encyclopedia of Biometrics: IZ.

SZ Li - 2009 - books.google.com
Biometrics refers to automated methods of recognizing a person based on physiological or
behavioral characteristics. Among the features measured are face, fingerprints, hand …

Performance evaluation of score level fusion in multimodal biometric systems

M He, SJ Horng, P Fan, RS Run, RJ Chen, JL Lai… - Pattern Recognition, 2010 - Elsevier
In a multimodal biometric system, the effective fusion method is necessary for combining
information from various single modality systems. In this paper the performance of sum rule …

The multiscenario multienvironment biosecure multimodal database (BMDB)

J Ortega-Garcia, J Fierrez… - … on Pattern Analysis …, 2009 - ieeexplore.ieee.org
A new multimodal biometric database designed and acquired within the framework of the
European BioSecure Network of Excellence is presented. It is comprised of more than 600 …

Ocular biometrics: A survey of modalities and fusion approaches

I Nigam, M Vatsa, R Singh - Information Fusion, 2015 - Elsevier
Biometrics, an integral component of Identity Science, is widely used in several large-scale-
county-wide projects to provide a meaningful way of recognizing individuals. Among existing …