BiosecurID: A Multimodal Biometric DatabaseUniversidad Autonoma de Madrid, Spain.
Universidad Autonoma de Madrid, Spain.
Universidad Autonoma de Madrid, Spain.
Universidad Autonoma de Madrid, Spain.
Universidad Autonoma de Madrid, Spain.
Universidad Autonoma de Madrid, Spain.
Universidad Autonoma de Madrid, Spain.
Universidad Autonoma de Madrid, Spain.
Escuela Universitaria Politecnica de Mataro, Avda. Puig i Cadafalch 101-111, 08303 Mataro, Barcelona, Spain.
Universidad Politecnica de Cataluña, Esc. Univ. de Ing. Tec. Ind. de Terrassa, C/ Colom 1, 08222 Terrassa, Barcelona, Spain.
Universidad de Valladolid, Edif. de Tecnicas de la Inf. y las Telecom., Campus Miguel, 47011 Valladolid, Spain.
Universidad de Valladolid, Edif. de Tecnicas de la Inf. y las Telecom., Campus Miguel, 47011 Valladolid, Spain.
Universidad de Valladolid, Edif. de Tecnicas de la Inf. y las Telecom., Campus Miguel, 47011 Valladolid, Spain.
Universidad de Valladolid, Edif. de Tecnicas de la Inf. y las Telecom., Campus Miguel, 47011 Valladolid, Spain.
Escuela Superior de Ingenieros, Universidad del Pais Vasco, C/ Alameda de Urquijo s/n, 48013 Bilbao, Spain.
Escuela Superior de Ingenieros, Universidad del Pais Vasco, C/ Alameda de Urquijo s/n, 48013 Bilbao, Spain.
Escuela Superior de Ingenieros, Universidad del Pais Vasco, C/ Alameda de Urquijo s/n, 48013 Bilbao, Spain.
Computer Vision Laboratory Group, Universidad de Zaragoza, Edif. Ada Byron, C/ Maria de Luna 1, 50018 Zaragoza, Spain.
Computer Vision Laboratory Group, Universidad de Zaragoza, Edif. Ada Byron, C/ Maria de Luna 1, 50018 Zaragoza, Spain.
Computer Vision Laboratory Group, Universidad de Zaragoza, Edif. Ada Byron, C/ Maria de Luna 1, 50018 Zaragoza, Spain.
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2010 (English)In: Pattern Analysis and Applications, ISSN 1433-7541, E-ISSN 1433-755X, Vol. 13, no 2, p. 235-246Article in journal (Refereed) Published
Abstract [en]
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. © Springer-Verlag London Limited 2009.
Place, publisher, year, edition, pages
New York, USA: Springer-Verlag New York, 2010. Vol. 13, no 2, p. 235-246
Keywords [en]
Biometrics, Database, Face, Fingerprint, Hand geometry, Handwriting, Iris, Keystroking, Multimodal, Palmprint, Signature, Speech
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-21220DOI: 10.1007/s10044-009-0151-4ISI: 000277023400010Scopus ID: 2-s2.0-77951880527OAI: oai:DiVA.org:hh-21220DiVA, id: diva2:589328
2013-02-052013-01-162025-10-01Bibliographically approved