|Title:||An Online Learning-Based Adaptive Biometric System||Authors:||Das, A.
Ferrer, M. A.
|UNESCO Clasification:||3307 Tecnología electrónica||Keywords:||Ensemble
|Issue Date:||2015||Journal:||Adaptive Biometric Systems: Recent Advances And Challenges||Abstract:||In the last decade, adaptive biometrics has become an emerging field of research. Considering the fact that limited work has been undertaken on adaptive biometrics using machine learning techniques, in this chapter we list and discuss a few out of many potential learning techniques that can be applied to build an adaptive biometric system. In order to illustrate the efficacy of one of the incremental learning techniques from the literature, we built an adaptive biometric system. For experimentation, we have used multi-modal ocular (sclera and iris) data. The preliminary results have been reported in the results section, which are very promising.||URI:||http://hdl.handle.net/10553/74426||ISSN:||2191-6586||DOI:||10.1007/978-3-319-24865-3_5||Source:||Adaptive Biometric Systems: Recent Advances And Challenges[ISSN 2191-6586], p. 73-96, (2015)|
|Appears in Collections:||Artículos|
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