Sciweavers

Share
ICB
2009
Springer

Challenges and Research Directions for Adaptive Biometric Recognition Systems

10 years 9 months ago
Challenges and Research Directions for Adaptive Biometric Recognition Systems
Biometric authentication using mobile devices is becoming a convenient and important means to secure access to remote services such as telebanking and electronic transactions. Such an application poses a very challenging pattern recognition problem: the training samples are often sparse and they cannot represent the biometrics of a person. The query features are easily affected by the acquisition environment, the user’s accessories, occlusions and aging. Semi-supervised learning – learning from the query/test data – can be a means to tap the vast unlabeled training data. While there is evidence that semi-supervised learning can work in text categorization and biometrics, its application on mobile devices remains a great challenge. As a preliminary, yet, indispensable study towards the goal of semi-supervised learning, we analyze the following sub-problems: model adaptation, update criteria, inference with several models and user-specific time-dependent performance assessment, an...
Norman Poh, Rita Wong, Josef Kittler, Fabio Roli
Added 26 May 2010
Updated 01 Oct 2012
Type Conference
Year 2009
Where ICB
Authors Norman Poh, Rita Wong, Josef Kittler, Fabio Roli
Comments (0)
books