Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TPAMI.2009.76 | IEEE Trans. Pattern Anal. Mach. Intell. |
Keywords | Field | DocType |
desktop pc,demographic data,fingerprint data,biosecure association,biosecure multimodal database,iris data,multimodal biometric system,mobile portable hardware,european biosecure network,multimodal databases,multiscenario multienvironment biosecure multimodal,biosensors,hardware,voice,biometric identification,biometrics,internet,performance,database management systems,iris,signal processing,benchmark,availability,database,evaluation,speaker,database design,multimodal,age distribution,data acquisition,face,fingerprint,signature,fingerprint recognition | Mobile computing,Modalities,Computer vision,Computer science,Fingerprint recognition,Data acquisition,Fingerprint,Artificial intelligence,Biometrics,Iris flower data set,Database,The Internet | Journal |
Volume | Issue | ISSN |
32 | 6 | 1939-3539 |
Citations | PageRank | References |
93 | 3.68 | 20 |
Authors | ||
32 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Javier Ortega-Garcia | 1 | 2273 | 157.07 |
| Julian Fierrez | 2 | 1732 | 114.87 |
| Fernando Alonso-Fernandez | 3 | 531 | 37.65 |
| Javier Galbally | 4 | 888 | 48.38 |
| Manuel R. Freire | 5 | 106 | 4.65 |
| Joaquin Gonzalez-Rodriguez | 6 | 758 | 59.67 |
| Carmen Garcia-Mateo | 7 | 96 | 4.48 |
| Jose Luis Alba-Castro | 8 | 108 | 6.39 |
| Elisardo González-Agulla | 9 | 129 | 9.02 |
| Enrique Otero-Muras | 10 | 106 | 5.78 |
| Sonia Garcia-Salicetti | 11 | 405 | 33.05 |
| Lorène Allano | 12 | 197 | 10.48 |
| Bao Ly Van | 13 | 182 | 8.18 |
| Bernadette Dorizzi | 14 | 1038 | 82.70 |
| J. Kittler | 15 | 14346 | 1465.03 |
| Thirimachos Bourlai | 16 | 334 | 28.12 |
| Norman Poh | 17 | 499 | 31.75 |
| Farzin Deravi | 18 | 296 | 36.61 |
| Ming W. R. Ng | 19 | 93 | 3.68 |
| Michael Fairhurst | 20 | 231 | 12.36 |
| Jean Hennebert | 21 | 417 | 38.70 |
| Andreas Humm | 22 | 125 | 7.08 |
| Massimo Tistarelli | 23 | 939 | 81.95 |
| Linda Brodo | 24 | 93 | 3.68 |
| Jonas Richiardi | 25 | 547 | 29.41 |
| Andrzej Drygajlo | 26 | 93 | 3.68 |
| Harald Ganster | 27 | 169 | 11.82 |
| Federico M. Sukno | 28 | 200 | 20.33 |
| Sri-Kaushik Pavani | 29 | 149 | 8.30 |
| Alejandro F. Frangi | 30 | 101 | 5.59 |
| lale akarun | 31 | 1201 | 70.68 |
| Arman Savran | 32 | 553 | 18.63 |