7 November 2002
demo areas short presentation ( I E E )
n.a.y. demo areas short presentation ( N E C )
demo areas short presentation ( E T M )
KEYNOTE - BIOMETRICS 1
A PROPOSAL FOR STRUCTURED ACTIVITIES IN
BIOMETRIC IDENTITY AUTHENTICATION
*B. Dorizzi, **A.M. Ariyaeeinia
*Institut National des Télécommunications, France
**University of Hertfordshire, United Kingdom
SESSION 1.A – Biometrics over the Internet
METHODOLOGY FOR EVALUATING SPEAKER VERIFICATION
ROBUSTNESS OVER IP NETWORKS
*L. Besacier, *P. Mayorga, **J.F. Bonastre, **C. Fredouille
*GEOD Team - Institut National Polytechnique de Grenoble, France
**LIA – University of Avignon, France
ASSESSMENT OF SPEAKER VERIFICATION DEGRADATION DUE TO
PACKET LOSS IN THE CONTEXT OF WIRELESS MOBILE DEVICES
*N.W.D. Evans, *J.S. Mason, **R. Auckenthaler, ***R. Stapert
*University of Wales Swansea, United Kingdom
**Ubiquity, Newport, United Kingdom
***Aculab, Milton Keynes, United Kingdom
DATA TRANSMISSION IN BIOMETRICS OVER THE INTERNET
J. Siau, A.M. Ariyaeeinia
University of Hertfordshire, United Kingdom
KEYNOTE - FACE RECOGNITION
n.a.y. ON REPRESENTATION SPACES FOR SVM BASED FACE VERIFICATION
J.Kittler, A. Kostin, M. Sadeghi
University of Surrey, United Kingdom
SESSION 1.B – FACE RECOGNITION (1)
A STATE-OF-THE-ART NEURAL NETWORK FOR
ROBUST FACE VERIFICATION
C. Marcel, S. Marcel S. Bengio
Dalle Molle Institute for Perceptual Artificial Intelligence (IDIAP), Switzerland
FRONTAL FACE DETECTION ALGORITHMS BASED ON SUPPORT
VECTOR MACHINES AND MAXIMUM LIKELIHOOD
E. Loutas, C. Kotropoulos, N. Bassiou, I. Pitas
Department of Informatics, Aristotle University of Thessaloniki, Greece
SESSION 1.C – FACE RECOGNITION (2)
FACE VERIFICATION USING MLP AND SVM: A COMPARISON
F. Cardinaux, S. Marcel
Dalle Molle Institute for Perceptual Artificial Intelligence (IDIAP), Switzerland
n.a.y. ASSESSMENT OF ICONIC IMAGE-BASED FACE RECOGNITION
*M. Tistarelli, **E. Grosso
*DAP - University of Sassari, Italy
**DIST - University of Genova, Italy
FACE RECOGNITION USING FUSION
G. Sazaklis, S.C.A. Thomopoulos
Institute of Informatics and Telecommunications, NCSR Demokritos, Athens, Greece
8 November 2002
KEYNOTE - FUSION
n.a.y. FUSION OF INTRAMODAL AND INTERMODAL EXPERTS IN PERSONAL IDENTITY AUTHENTICATION SYSTEMS
*J.Kittler, *K. Messer, **J. Czyz
*University of Surrey, United Kingdom
**Universite Catholique de Louvain, Belgium
SESSION 2.A - FUSION
A BIOMETRIC IDENTIFICATION SYSTEM BASED ON
THE FUSION OF HAND AND PALM FEATURES
*S. Ribarić, **D. Ribarić, ***N. Pavešić
*Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia
**Intelligent Informatics Systems, Zagreb, Croatia
***Faculty of Electrical Engineering, University of Ljubljana, Slovenia
IDENTITY VERIFICATION BY FUSION OF BIOMETRIC DATA:
ON-LINE SIGNATURES AND SPEECH
*M. Fuentes, **D. Mostefa, **J. Kharroubi, *S. Garcia-Salicetti, *B. Dorizzi, **G. Chollet
*Institut National des Télé, France
**ENST, Lab. CNRS-LTCI, France
KEYNOTE - Speaker Recognition: Assessment
NIST’S ASSESSMENT OF TEXT INDEPENDENT SPEAKER RECOGNITION PERFORMANCE
M. Przybocki
NIST, USA
SESSION 2.B - SPEAKER RECOGNITION (1)
ON FEATURE SELECTION FOR SPEAKER VERIFICATION
A. Cohen, Y. Zigel
Ben-Gurion University, Beer-Sheva, Israel
NONLINEAR SPEECH PROCESSING APPLIED TO
SPEAKER RECOGNITION
*M. Faúndez-Zanuy, **A. Esposito
*Escola Universitaria Politecnica de Mataro – EUPMT, Spain
**International Institute for Advanced Scientific Studies – IIASS, Italy
KEYNOTE - Speaker Recognition
A BAYESIAN FRAMEWORK FOR OPTIMIZING THE JOINT PROBABILITY OF SPEAKER AND SPEECH RECOGNITION HYPOTHESESA
L. Heck
NUANCE, USA
SESSION 2.C - SPEAKER RECOGNITION (2)
A BAYESIAN NETWORK APPROACH FOR COMBINING PITCH AND SPECTRAL ENVELOPE FEATURES FOR SPEAKER VERIFICATION
M. Arcienega, A. Drygajlo
Swiss Federal Institute of Technology of Lausanne, Switzerland
USER CUSTOMIZED PASSWORD HMM BASED
SPEAKER VERIFICATION
M. F. BenZeghiba, H. Bourlard
Dalle Molle Institute for Perceptual Artificial Intelligence (IDIAP), Switzerland
SESSION 2.D - MULTIMODALITY, INTERFACES, DATABASES
ADAPTIVE USER AGENTS FOR
BIOMETRIC AUTHENTICATIONS
N.J. Mavity, M.C. Fairhurst, F. Deravi
University of Kent, United Kingdom
BIOMETRIC SENSORS EVALUATION: USER PSYCHOLOGY AS A KEY FACTOR IN DETERMINING THE SUCCESS OF AN APPLICATION
*J. Ashbourn, **M. Savastano
*Avanti, UK
**Institute of Bio-structure and Bio-images (IBB) of CNR, Italia
STRUCTURAL CONSTRAINTS FOR NOISE RESISTANT
MULTI-MODAL VERIFICATION
C. Sanderson
Dalle Molle Institute for Perceptual Artificial Intelligence (IDIAP), Switzerland
MCYT: A MULTIMODAL BIOMETRIC DATABASE
*J. Ortega, *D. Simón, *M. Faúndez, **V. Espinosa, **A. Satué,
***I. Hernáez, ***J.-J. Igarza, ****C. Vivaracho, ****Q-I. Moro
*Biometrics Research Lab. – ATVS, Universidad Politécnica de Madrid, Spain
**Escuela Universitaria Politécnica de Mataró, Barcelona, Spain
***Universidad del País Vasco / Euskal Herriko Unibertitateo, Spain
****Universidad de Valladolid, Spain
BIOMETRIC DATA COLLECTION FOR
BIMODAL APPLICATIONS
P. Cosi, E. Magno Caldognetto, G. Tisato, C. Zmarich
ISTC-SPFD Consiglio Nazionale delle Ricerche, Italy