MCYT baseline corpus: a bimodal biometric database
MCYT baseline corpus: a bimodal biometric database
- Author(s): J. Ortega-Garcia ; J. Fierrez-Aguilar ; D. Simon ; J. Gonzalez ; M. Faundez-Zanuy ; V. Espinosa ; A. Satue ; I. Hernaez ; J.-J. Igarza ; C. Vivaracho ; D. Escudero ; Q.-I. Moro
- DOI: 10.1049/ip-vis:20031078
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- Author(s): J. Ortega-Garcia 1 ; J. Fierrez-Aguilar 1 ; D. Simon 1 ; J. Gonzalez 1 ; M. Faundez-Zanuy 2 ; V. Espinosa 2 ; A. Satue 2 ; I. Hernaez 3 ; J.-J. Igarza 3 ; C. Vivaracho 4 ; D. Escudero 4 ; Q.-I. Moro 4
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View affiliations
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Affiliations:
1: Biometric Research Laboratory, ATVS, Universidad Politecnica de Madrid, Madrid, Spain
2: Escuela Universitaria Politecnica de Mataro, Mataró, Barcelona, Spain
3: Universidad del Pais Vasco/Euskal Herriko Unibertsitatea, Escuela Superior de Ingenieros, Bilbao, Spain
4: Dpto. Informatica, Universidad de Valladolid, Valladolid, Spain
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Affiliations:
1: Biometric Research Laboratory, ATVS, Universidad Politecnica de Madrid, Madrid, Spain
- Source:
Volume 150, Issue 6,
December 2003,
p.
395 – 401
DOI: 10.1049/ip-vis:20031078 , Print ISSN 1350-245X, Online ISSN 1359-7108
The current need for large multimodal databases to evaluate automatic biometric recognition systems has motivated the development of the MCYT bimodal database. The main purpose has been to consider a large scale population, with statistical significance, in a real multimodal procedure, and including several sources of variability that can be found in real environments. The acquisition process, contents and availability of the single-session baseline corpus are fully described. Some experiments showing consistency of data through the different acquisition sites and assessing data quality are also presented.
Inspec keywords: handwriting recognition; statistical analysis; visual databases; data integrity
Other keywords:
Subjects: Computer vision and image processing techniques; Data security; Other topics in statistics; Spatial and pictorial databases
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