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dc.contributor.authorAhmad Nasir, Che Rosli
dc.contributor.authorR. Badlishah, Ahmad
dc.contributor.authorAli Yeon, Md Shakaff
dc.contributor.authorMohamad Rizon, Mohamed Juhari
dc.date.accessioned2009-12-01T03:40:25Z
dc.date.available2009-12-01T03:40:25Z
dc.date.issued2008-12-01
dc.identifier.citationp.1-6en_US
dc.identifier.isbn978-1-4244-2315-6
dc.identifier.urihttp://ieeexplore.ieee.org/xpls/abs_all.jsp?=&arnumber=4786781
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/7363
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.orgen_US
dc.description.abstractBiometric identification provides a reliable and secure user authentication for the increased security requirements. The deployment of advanced computer vision methods for biometric identification system in an embedded platform are severely constrained in their limited processing capabilities, limited memory, limited power source, and algorithms for biometric identification that provide sufficient accuracy tend to be computationally expensive, leading to unacceptable authentication times. This paper describes the design and preliminary implementation of an embedded system for biometric identification based on iris detection (BIOI2D). Single Board Computer itself is portable and can be used for various purposes such as network based identification system on human face, robot vision platform and embedded web server. In this paper, hardware and software design as well as the experimental result are presented.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineering (IEEE)en_US
dc.relation.ispartofseriesInternational Conference on Electronic Design (ICED 2008)en_US
dc.subjectBiometricsen_US
dc.subjectEmbedded systemen_US
dc.subjectLinuxen_US
dc.subjectSingle board computeren_US
dc.subjectBiometrics (access control)en_US
dc.subjectComputer visionen_US
dc.subjectImage processing -- Digital techniquesen_US
dc.subjectBiometric identificationen_US
dc.titleEmbedded system for biometric identification based on iris detectionen_US
dc.typeArticleen_US
dc.contributor.urlahmadnasir@unimap.edu.myen_US


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