Data/hora: 09/06/2024 17:38:19

Provedor de dados: 	52	
País: 	Brazil	
Título: 	Feature Level Two -Dimensional Arrays Based Fusion in the Personal Authentication system using Physiological Biometric traits	
Autores: 	Carol .J,Jerusalin; Fred,A. Lenin; Daniel,Ashy.V.	
Data: 	2016-01-01	
Ano: 	2016	
Palavras-chave: 	Fingerprint; Knuckle print; Retina; Blood vessel segmentation; Feature level Fusion; Template.	
Resumo: 	ABSTRACT The fingerprint, knuckle print and the retina are used to authenticate a person accurately because of the permanence in the features. These three biometric traits are fused for better security. The fingerprint and knuckle print images are pre-processed by morphological techniques and the features are extracted from the normalized image using gabor filter. The retinal image is converted to gray image and pre-processing is done using top hat and bottom hat filtering. Blood vessels are segmented and the features are extracted by locating the optic disk as the centre point. The extracted features from the fingerprint, knuckle print and the retina are fused together as one template and stored in the data base for authentication purpose, thus reducing the space and time complexity.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132016000300408	
Editor: 	Instituto de Tecnologia do Paraná - Tecpar	
Relação: 	10.1590/1678-4324-2016161074	
Formato: 	text/html	
Fonte: 	Brazilian Archives of Biology and Technology  v.59 n.spe2 2016	
Fonte: 	info:eu-repo/semantics/openAccess