Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/7188
Title: A comparative analysis of two approaches to periocular recognition in mobile scenarios
Authors: Monteiro,JC
Esteves,R
Santos,G
Fiadeiro,PT
Lobo,J
Jaime Cardoso
Issue Date: 2015
Abstract: In recent years, periocular recognition has become a popular alternative to face and iris recognition in less ideal acquisition scenarios. An interesting example of such scenarios is the usage of mobile devices for recognition purposes. With the growing popularity and easy access to such devices, the development of robust biometric recognition algorithms to work under such conditions finds strong motivation. In the present work we assess the performance of extended versions of two state-ofthe- art periocular recognition algorithms on the publicly available CSIP database, a recent dataset composed of images acquired under highly unconstrained and multi-sensor mobile scenarios. The achieved results show each algorithm is better fit to tackle different scenarios and applications of the biometric recognition problem. © Springer International Publishing Switzerland 2015.
URI: http://repositorio.inesctec.pt/handle/123456789/7188
http://dx.doi.org/10.1007/978-3-319-27863-6_25
metadata.dc.type: conferenceObject
Publication
Appears in Collections:CTM - Articles in International Conferences

Files in This Item:
File Description SizeFormat 
P-00K-31J.pdf855.61 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.