BiosecurID: a multimodal biometric database

TL;DR

BiosecurID introduces a comprehensive multimodal biometric database with diverse traits, realistic acquisition conditions, and detailed demographic and attack data, supporting advanced biometric research.

Contribution

It provides a new, extensive multimodal biometric database with detailed protocols, demographic info, and attack scenarios, facilitating research in biometric systems.

Findings

Includes 8 biometric traits from 400 subjects.

Features realistic acquisition scenarios and demographic diversity.

Contains replay attacks and skilled forgeries for robust testing.

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.