TY - JOUR
T1 - The multiscenario multienvironment biosecure multimodal database (BMDB)
AU - Ortega-Garcia, Javier
AU - Fierrez, Julian
AU - Alonso-Fernandez, Fernando
AU - Galbally, Javier
AU - Freire, Manuel R.
AU - Gonzalez-Rodriguez, Joaquin
AU - Garcia-Mateo, Carmen
AU - Alba-Castro, Jose Luis
AU - Gonzalez-Agulla, Elisardo
AU - Otero-Muras, Enrique
AU - Garcia-Salicetti, Sonia
AU - Allano, Lorene
AU - Ly-Van, Bao
AU - Dorizzi, Bernadette
AU - Kittler, Josef
AU - Bourlai, Thirimachos
AU - Poh, Norman
AU - Deravi, Farzin
AU - Ng, Ming N.R.
AU - Fairhurst, Michael
AU - Hennebert, Jean
AU - Humm, Andreas
AU - Tistarelli, Massimo
AU - Brodo, Linda
AU - Richiardi, Jonas
AU - Drygajlo, Andrezj
AU - Ganster, Harald
AU - Sukno, Federico M.
AU - Pavani, Sri Kaushik
AU - Frangi, Alejandro F
AU - Akarun, Lale
AU - Savran, Arman
N1 - Funding Information:
BiosecurID database [13]. The BiosecurID database was collected in six Spanish institutions in the framework of the BiosecurID project funded by the Spanish Ministry of Education and Science. It has been collected in an office-like uncontrolled environment (in order to simulate a realistic scenario), and was designed to comply with the following characteristics: 400 subjects, eight different traits (speech, iris, face still and talking face, signature, handwriting, fingerprint, and hand and keystroking), and four acquisition sessions distributed in a four-month time span. BioSec database [14]. BioSec was an Integrated Project (IP) of the Sixth European Framework Programme [26] which involved over 20 partners from nine European countries. One of the activities within BioSec was the acquisition of a multimodal database. This database was acquired at four different European
Funding Information:
This work has been supported by the European Network of Excellence (NoE) BioSecure—Biometrics for Secure Authentication—and by the National Projects of the Spanish Ministry of Science and Technology (TEC2006-13141-C03-03, TEC2006-03617/TCM, TIC2002-04495-C02, and TEC2005-07212) and the Italian Ministry of Research. The postdoctoral research of author J. Fierrez is supported by a Marie Curie Outgoing International Fellowship. The authors F. Alonso-Fernandez and M.R. Freire are supported by FPI Fellowships from Comunidad de Madrid. The author J. Galbally is supported by an FPU Fellowship from Spanish MEC. Authors Josef Kittler and Norman Poh are supported by the Advanced Researcher Fellowship PA0022_121477 of the Swiss National Science Foundation and by the EU-funded Mobio project grant IST-214324. The author J. Richiardi is supported by the Swiss National Science Foundation. The authors also thank the support and assistance of (in alphabetical order): Dr. Manuele Bicego (UNISS), Prof. Enrico Grosso (UNISS), Dr. Andrea Lagorio (UNISS), Aurélien Mayoue (TELECOM & Management SudParis), Dijana Petrovska (TELECOM & Management SudParis), Ms. Ajita Rattani (UNISS), Florian Verdet (UNIFRI). The authors would also like to thank the anonymous donors who have contributed to this database.
PY - 2010/6
Y1 - 2010/6
N2 - A new multimodal biometric database designed and acquired within the framework of the European BioSecure Network of Excellence is presented. It is comprised of more than 600 individuals acquired simultaneously in three scenarios: 1) over the Internet, 2) in an office environment with desktop PC, and 3) in indoor/outdoor environments with mobile portable hardware. The three scenarios include a common part of audio/video data. Also, signature and fingerprint data have been acquired both with desktop PC and mobile portable hardware. Additionally, hand and iris data were acquired in the second scenario using desktop PC. Acquisition has been conducted by 11 European institutions. Additional features of the BioSecure Multimodal Database (BMDB) are: two acquisition sessions, several sensors in certain modalities, balanced gender and age distributions, multimodal realistic scenarios with simple and quick tasks per modality, cross-European diversity, availability of demographic data, and compatibility with other multimodal databases. The novel acquisition conditions of the BMDB allow us to perform new challenging research and evaluation of either monomodal or multimodal biometric systems, as in the recent BioSecure Multimodal Evaluation campaign. A description of this campaign including baseline results of individual modalities from the new database is also given. The database is expected to be available for research purposes through the BioSecure Association during 2008.
AB - A new multimodal biometric database designed and acquired within the framework of the European BioSecure Network of Excellence is presented. It is comprised of more than 600 individuals acquired simultaneously in three scenarios: 1) over the Internet, 2) in an office environment with desktop PC, and 3) in indoor/outdoor environments with mobile portable hardware. The three scenarios include a common part of audio/video data. Also, signature and fingerprint data have been acquired both with desktop PC and mobile portable hardware. Additionally, hand and iris data were acquired in the second scenario using desktop PC. Acquisition has been conducted by 11 European institutions. Additional features of the BioSecure Multimodal Database (BMDB) are: two acquisition sessions, several sensors in certain modalities, balanced gender and age distributions, multimodal realistic scenarios with simple and quick tasks per modality, cross-European diversity, availability of demographic data, and compatibility with other multimodal databases. The novel acquisition conditions of the BMDB allow us to perform new challenging research and evaluation of either monomodal or multimodal biometric systems, as in the recent BioSecure Multimodal Evaluation campaign. A description of this campaign including baseline results of individual modalities from the new database is also given. The database is expected to be available for research purposes through the BioSecure Association during 2008.
KW - benchmark
KW - biometrics
KW - database
KW - evaluation
KW - face
KW - fingerprint
KW - hand
KW - iris
KW - multimodal
KW - performance
KW - signature
KW - speaker
KW - voice
U2 - 10.1109/TPAMI.2009.76
DO - 10.1109/TPAMI.2009.76
M3 - Article
C2 - 20431134
AN - SCOPUS:77951623770
SN - 0162-8828
VL - 32
SP - 1097
EP - 1111
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
JF - IEEE Transactions on Pattern Analysis and Machine Intelligence
IS - 6
ER -