BiosecurID: a multimodal biometric database

• Published in: Pattern analysis and applications : PAA Vol. 13; no. 2; pp. 235 - 246
• Main Authors: Fierrez, J., Galbally, J., Ortega-Garcia, J., Freire, M. R., Alonso-Fernandez, F., Ramos, D., Toledano, D. T., Gonzalez-Rodriguez, J., Siguenza, J. A., Garrido-Salas, J., Anguiano, E., Gonzalez-de-Rivera, G., Ribalda, R., Faundez-Zanuy, M., Ortega, J. A., Cardeñoso-Payo, V., Viloria, A., Vivaracho, C. E., Moro, Q. I., Igarza, J. J., Sanchez, J., Hernaez, I., Orrite-Uruñuela, C., Martinez-Contreras, F., Gracia-Roche, J. J.
• Format: Journal Article
• Language: English
• Published: London Springer-Verlag 01.05.2010; Springer
• Subjects: Applied sciences; Artificial intelligence; Biometrics; Computer Science; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Exact sciences and technology; Face; Fingerprint; Hand geometry; Handwriting; Iris; Keystroking; Learning and adaptive systems; Memory and file management (including protection and security); Memory organisation. Data processing; Multimodal; Palmprint; Pattern Recognition; Pattern recognition. Digital image processing. Computational geometry; Short Paper; Signature; Software; Speech; Biometrics; Iris; Fingerprint; Handwriting; Multimodal; Hand geometry; Keystroking; Signature; Database; Speech; Face; Palmprint; Image processing; Sex; Video signal; Facies; Fixed image; Replay attack; Adulteration; Age; Availability; Measurement sensor; Text; Hand; Cryptanalysis; Manuscript character; Compatibility
• ISSN: 1433-7541; 1433-755X; 1433-755X
• DOI: 10.1007/s10044-009-0151-4

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.