Feature and Score Fusion Based Multiple Classifier Selection for Iris Recognition

The aim of this work is to propose a new feature and score fusion based iris recognition approach where voting method on Multiple Classifier Selection technique has been applied. Four Discrete Hidden Markov Model classifiers output, that is, left iris based unimodal system, right iris based unimodal...

Descripción completa

Detalles Bibliográficos
Autor principal: Islam, Md. Rabiul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4120484/
https://www.ncbi.nlm.nih.gov/pubmed/25114676
http://dx.doi.org/10.1155/2014/380585

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4120484/
https://www.ncbi.nlm.nih.gov/pubmed/25114676
http://dx.doi.org/10.1155/2014/380585

Ejemplares similares