Biometric Systems: Technology, Design and Performance Evaluation
Biometric Systems: Technology, Design and Performance Evaluation
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Direct Attacks Using Fake Images in Iris Verification
Biometrics and Identity Management
Active Fingerprint Ridge Orientation Models
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Modelling fingerprint ridge orientation using Legendre polynomials
Pattern Recognition
Multimedia multimodal methodologies
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Impact of combining quality measures on biometric sample matching
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Performance evaluation of score level fusion in multimodal biometric systems
Pattern Recognition
An evaluation of direct attacks using fake fingers generated from ISO templates
Pattern Recognition Letters
GUC100 multisensor fingerprint database for in-house (semipublic) performance test
EURASIP Journal on Information Security
SDUMLA-HMT: a multimodal biometric database
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Synthetic on-line signature generation. Part I: Methodology and algorithms
Pattern Recognition
Improving classification with class-independent quality measures: Q-stack in face verification
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Periocular recognition using retinotopic sampling and gabor decomposition
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Real-Time Speaker Verification System Implemented on Reconfigurable Hardware
Journal of Signal Processing Systems
MMU GASPFA: A COTS multimodal biometric database
Pattern Recognition Letters
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The baseline corpus of a new multimodal database, acquired in the framework of the FP6 EU BioSec Integrated Project, is presented. The corpus consists of fingerprint images acquired with three different sensors, frontal face images from a webcam, iris images from an iris sensor, and voice utterances acquired both with a close-talk headset and a distant webcam microphone. The BioSec baseline corpus includes real multimodal data from 200 individuals in two acquisition sessions. In this contribution, the acquisition setup and protocol are outlined, and the contents of the corpus-including data and population statistics-are described. The database will be publicly available for research purposes by mid-2006.