Professor Carlos Manuel Travieso Gonzalez
Vice-Dean
University of Las Palmas de Gran Canaria
Technological Centre for Innovation in Communications (CeTIC)
Higher Technical School of Telecommunications Engineering
Campus Universitario de Tafira, s/n
Pabellon B - Despacho 111
35017 - Las Palmas de Gran Canaria, SPAIN.
Phone: +34928452864
Fax: +34928451243
Abstract: In this Plenary Lecture, will be comment the some biometric approaches and its real possibility for its use on high and low security applications. The advances of multimodal biometric systems and the new biometric system allow its use in different scenarios. The unions of technology and the biometric business have increased its expansion. The use of biometric recognition systems has yielded significant progress in the last years. However, considerable advances on both system precision and cost reduction of sensors, has not produced an increase in user’s confidence, mainly due to lack of reliability in real operational environments, and also due to privacy and vulnerability concerns. In order to alleviate the problems generated by the adoption of biometric systems, which are in any case highly valuable for industrials, the innovative development of a biometric scheme is proposed; operating in realistic environments, the system will
incorporate the following features:
1. Multibiometric, incorporating three different perspectives: multimodal, multi-shot
and multi-level.
2. High transparency and acceptability, and low intrusiveness of the adopted
intra-modalities on hand-based biometrics, as far as users accept them as
being highly transparent, and do not require user cooperativeness, nor show
social refusal, as iris or fingerprints do.
3. Combined use of these intra-modalities in order to attain reliability comparable
to iris or fingerprint modalities.
4. Use of objective quality measures of the test sample, in order to weight the
multibiometric fusion process, inducing so an improvement in the
authentication rates.
5. Hardware and software development oriented to conduct match-on-card tests,
in order to improve privacy and protection to vulnerability features.
6. Unsupervised database acquisition of the referred biometric traits, producing
data availability close to operational conditions in real environments.
7. Removal of technological dependencies by means of free-code availability.
Plenary Speaker's Brief biography: Dr. Carlos M. Travieso-González was born in Spain. He received the M.Sc. degree in 1997 in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain. Besides, he received Ph.D. degree in 2002 at University of Las Palmas de Gran Canaria (ULPGC-Spain). He is an Associate Professor from 2001 in ULPGC, teaching subjects on signal processing and learning theory. His research lines are biometric systems, classification system, medical signal processing, environmental intelligence, and data mining. He has researched in 23 International and Spanish Research Projects, some of them as head researcher. He has 150 papers published in international journals and conferences. He has been reviewer in different international journals and conferences since 2001. He is Image Processing Technical IASTED Committee Member. He is Vice-Dean from 2004 in Higher Technical School of Telecommunication Engineers in ULPGC.
