Artículos de revistas
Extraction And Application Of Dynamic Pupillometry Features For Biometric Authentication
Registro en:
Extraction And Application Of Dynamic Pupillometry Features For Biometric Authentication. Elsevier Sci Ltd, v. 63, p. 41-48 MAR-2015.
0263-2241
WOS:000348030500006
10.1016/j.measurement.2014.12.001
Autor
Yano
Vitor; Zimmer
Alessandro; Ling
Lee Luan
Institución
Resumen
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Iris recognition is considered one of the most secure biometric recognition methods. However, even this biometric trait can be frauded in some cases. In other cases, the quality of the captured image can affect the system recognition performance. This paper proposes a multimodal biometric authentication system that combines the use of dynamic features from the Pupillary Light Reflex (PLR) and the static features from the iris pattern for a better performance. A dynamic pupillometer device has been developed and a prototype system for features extraction and classification has been implemented. A pupillometric database has been created using data from 90 volunteers, and tests of the biometric system have lead to experimental of 0% EER. (C) 2014 Elsevier Ltd. All rights reserved. 63
41 48 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)