BiosecurID: a multimodal biometric database

被引：99

作者：

Fierrez, J. ^{[1
]}

Galbally, J. ^{[1
]}

Ortega-Garcia, J. ^{[1
]}

Freire, M. R. ^{[1
]}

Alonso-Fernandez, F. ^{[1
]}

Ramos, D. ^{[1
]}

Toledano, D. T. ^{[1
]}

Gonzalez-Rodriguez, J. ^{[1
]}

Siguenza, J. A. ^{[1
]}

Garrido-Salas, J. ^{[1
]}

Anguiano, E. ^{[1
]}

Gonzalez-de-Rivera, G. ^{[1
]}

Ribalda, R. ^{[1
]}

Faundez-Zanuy, M. ^{[2
]}

Ortega, J. A. ^{[3
]}

Cardenoso-Payo, V. ^{[4
]}

Viloria, A. ^{[4
]}

Vivaracho, C. E. ^{[4
]}

Moro, Q. I. ^{[4
]}

Igarza, J. J. ^{[5
]}

Sanchez, J. ^{[5
]}

Hernaez, I. ^{[5
]}

Orrite-Urunuela, C. ^{[6
]}

Martinez-Contreras, F. ^{[6
]}

Gracia-Roche, J. J. ^{[6
]}

机构：

[1] Univ Autonoma Madrid, EPS, E-28049 Madrid, Spain

[2] Escuela Univ Politecn Mataro, Barcelona 08303, Spain

[3] Esc Univ Ing Tec Ind Terrassa, Univ Politecn Cataluna, Barcelona 08222, Spain

[4] Univ Valladolid, E-47011 Valladolid, Spain

[5] Univ Basque Country, Escuela Super Ingn, Bilbao 48013, Spain

[6] Univ Zaragoza, Comp Vis Lab Grp, Zaragoza 50018, Spain

来源：

PATTERN ANALYSIS AND APPLICATIONS | 2010年 / 13卷 / 02期

关键词：

Biometrics; Multimodal; Database; Face; Speech; Iris; Fingerprint; Palmprint; Hand geometry; Keystroking; Signature; Handwriting; FACE;

D O I：

10.1007/s10044-009-0151-4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：235 / 246

页数：12

共 23 条

[1] [Anonymous], 2002, P WORKSH MULT RES MU
[2] Bailly-Bailliére E, 2003, LECT NOTES COMPUT SC, V2688, P625
[3] CHIBELUSHI CC, 1999, P IEE C IAVPRSC
[4] Multimodal biometrics for identity documents (MBioID)
Dessimoz, Damien
Richiardi, Jonas
Champod, Christophe
Drygajlo, Andrzej
[J]. FORENSIC SCIENCE INTERNATIONAL, 2007, 167 (2-3) : 154 - 159
[5] Dumas D., 2005, MYIDEA SENSORS SPECI
[6] Multimodal biometric databases: An overview
Faundez-Zanuy, Marcos
Fierrez-Aguilar, Julian
Ortega-Garcia, Javier
Gonzalez-Rodriguez, Joaquin
[J]. IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE, 2006, 21 (08) : 29 - 37
[7] Bayesian adaptation for user-dependent multimodal biometric authentication
Fierrez-Aguilar, J
Garcia-Romero, D
Ortega-Garcia, J
Gonzalez-Rodriguez, J
[J]. PATTERN RECOGNITION, 2005, 38 (08) : 1317 - 1319
[8] Discriminative multimodal biometric authentication based on quality measures
Fierrez-Aguilar, J
Ortega-Garcia, J
Gonzalez-Rodriguez, J
Bigun, J
[J]. PATTERN RECOGNITION, 2005, 38 (05) : 777 - 779
[9] Flynn, 2008, HDB BIOMETRICS
[10] GALBALLY J, 2009, PATTERN REC IN PRESS

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