"Garbage In, Garbage Out". The well-known computer science GIGO principle summarises in a very efficient and graphic manner, the pivotal role played by the soundness of the data given as input to any computerised system, in the meaningfulness of the output results. As in any other area of science, only nonsense conclusions can be expected from flawed premises. And automated biometric systems are no exception to this rule.
The current webinar will deepen into how the estimation of biometric quality and quality metrics can help to avoid the GIGO principle, how it can be measured, how can quality metrics be evaluated, and their multiple applications in biometrics.
Curriculum vitæ
Javier Galbally received the M.Sc. degree in electrical engineering from the Universidad de Cantabria, Spain, in 2005, and the Ph.D. degree in electrical engineering from the Universidad Autónoma de Madrid, Spain, in 2009, where he was an Assistant Professor until 2012. In 2013, he joined the European Commission in DG Joint Research Centre, where he is currently a Scientific/Technical Officer. His research interests are mainly focused on the security and performance evaluation of biometric systems, pattern and biometric recognition. He is actively involved in different European projects dealing with biometrics and their use in large IT systems. He is the Chair of the EAB Research Projects Conference and has authored over 100 publications mainly focused on the biometrics field.
