Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/74426
Título: An Online Learning-Based Adaptive Biometric System
Autores/as: Das, A.
Kunwar, R.
Pal, U.
Ferrer, M. A. 
Blumenstein, M.
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Ensemble
Classifiers
Network
Fecha de publicación: 2015
Publicación seriada: Adaptive Biometric Systems: Recent Advances And Challenges
Resumen: 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
Fuente: Adaptive Biometric Systems: Recent Advances And Challenges[ISSN 2191-6586], p. 73-96, (2015)
Colección:Artículos
Vista completa

Citas de WEB OF SCIENCETM
Citations

2
actualizado el 10-jul-2022

Visitas

99
actualizado el 10-feb-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.