Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/74426
Title: An Online Learning-Based Adaptive Biometric System
Authors: Das, A.
Kunwar, R.
Pal, U.
Ferrer, M. A. 
Blumenstein, M.
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Ensemble
Classifiers
Network
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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