J
J. Fierrez-Aguilar
Researcher at Autonomous University of Madrid
Publications - 33
Citations - 2490
J. Fierrez-Aguilar is an academic researcher from Autonomous University of Madrid. The author has contributed to research in topics: Biometrics & Fingerprint Verification Competition. The author has an hindex of 24, co-authored 33 publications receiving 2370 citations.
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Journal ArticleDOI
MCYT baseline corpus: a bimodal biometric database
Javier Ortega-Garcia,J. Fierrez-Aguilar,D. Simon,Janneth Gonzalez,Marcos Faundez-Zanuy,V. Espinosa,A. Satue,Inma Hernaez,Juan J. Igarza,Carlos E. Vivaracho,D. Escudero,Q. I. Moro +11 more
TL;DR: 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.
Book ChapterDOI
An on-line signature verification system based on fusion of local and global information
TL;DR: It is shown experimentally that the machine expert based on local information outperforms the system based on global analysis when enough training data is available and it is found that global analysis is more appropriate in the case of small training set size.
Journal ArticleDOI
Rapid and brief communication: Discriminative multimodal biometric authentication based on quality measures
TL;DR: The proposed scheme is shown to outperform significantly the fusion approach without considering quality signals and a relative improvement of approximately 20% is obtained on the publicly available MCYT bimodal database.
Proceedings ArticleDOI
Cryptographic key generation using handwritten signature
TL;DR: This work studies the application of handwritten signature to cryptography and implements the cryptographic construction named fuzzy vault, which includes a signature-based key generation scheme and the use of distinctive signature features suited for the fuzzy vault.
Proceedings ArticleDOI
Multimodal biometric authentication using quality signals in mobile communications
TL;DR: In particular, fingerprint and speech based systems serve as illustration of a mobile authentication application and a novel signal adaptive supervisor, based on the input biometric signal quality, is evaluated.