BiosecurID: a multimodal biometric database
Abstract
A new multimodal biometric database, acquired in the framework of the BiosecurID project, is presented together with the description of the acquisition setup and protocol. The database includes eight unimodal biometric traits, namely: speech, iris, face (still images, videos of talking faces), handwritten signature and handwritten text (on-line dynamic signals, off-line scanned images), fingerprints (acquired with two different sensors), hand (palmprint, contour-geometry) and keystroking. The database comprises 400 subjects and presents features such as: realistic acquisition scenario, balanced gender and population distributions, availability of information about particular demographic groups (age, gender, handedness), acquisition of replay attacks for speech and keystroking, skilled forgeries for signatures, and compatibility with other existing databases. All these characteristics make it very useful in research and development of unimodal and multimodal biometric systems.
Cite
@article{arxiv.2111.03472,
title = {BiosecurID: a multimodal biometric database},
author = {Julian Fierrez and Javier Galbally and Javier Ortega-Garcia and Manuel R Freire and Fernando Alonso-Fernandez and Daniel Ramos and Doroteo Torre Toledano and Joaquin Gonzalez-Rodriguez and Juan A Siguenza and Javier Garrido-Salas and E Anguiano and Guillermo Gonzalez-de-Rivera and Ricardo Ribalda and Marcos Faundez-Zanuy and JA Ortega and Valentín Cardeñoso-Payo and A Viloria and Carlos E Vivaracho and Q Isaac Moro and Juan J Igarza and J Sanchez and Inmaculada Hernaez and Carlos Orrite-Urunuela and Francisco Martinez-Contreras and Juan José Gracia-Roche},
journal= {arXiv preprint arXiv:2111.03472},
year = {2021}
}
Comments
Published at Pattern Analysis and Applications journal