BiosecurID: a multimodal biometric database

• DOI: 10.1007/s10044-009-0151-4
• Publication Date: 2009-02-24T12:51:07Z
• Authors: J. Fierrez; J. Galbally; J. Ortega-Garcia; M. R. Freire; F. Alonso-Fernandez; D. Ramos; D. T. Toledano; J. Gonzalez-Rodri...; J. A. Siguenza; J. Garrido-Salas; E. Anguiano; G. Gonzalez-de-Ri...; R. Ribalda; M. Faundez-Zanuy; J. A. Ortega; V. Cardeñoso-Payo; A. Viloria; C. E. Vivaracho; Q. I. Moro; J. J. Igarza; J. Sanchez; I. Hernaez; C. Orrite-Uruñuela; F. Martinez-Contr...; J. J. Gracia-Roche
• Keywords: FOS: Computer and information sciences; Handwriting; Computer Science - Cryptography and Security; Computer Vision and Pattern Recognition (cs.CV); Fingerprint; Computer Science - Computer Vision and Pattern Recognition; Iris; Hand geometry; Signalbehandling; 02 engineering and technology; Signature; Database; Keystroking; FOS: Electrical engineering, electronic engineering, information engineering; 0202 electrical engineering, electronic engineering, information engineering; Speech; Palmprint; Telecomunicaciones; Image and Video Processing (eess.IV); Electrical Engineering and Systems Science - Image and Video Processing; 004; Biometrics; Face; Signal Processing; Multimodal; Cryptography and Security (cs.CR)

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.<br/>Published at Pattern Analysis and Applications journal<br/>