Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/7363
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ahmad Nasir, Che Rosli | - |
dc.contributor.author | R. Badlishah, Ahmad | - |
dc.contributor.author | Ali Yeon, Md Shakaff | - |
dc.contributor.author | Mohamad Rizon, Mohamed Juhari | - |
dc.date.accessioned | 2009-12-01T03:40:25Z | - |
dc.date.available | 2009-12-01T03:40:25Z | - |
dc.date.issued | 2008-12-01 | - |
dc.identifier.citation | p.1-6 | en_US |
dc.identifier.isbn | 978-1-4244-2315-6 | - |
dc.identifier.uri | http://ieeexplore.ieee.org/xpls/abs_all.jsp?=&arnumber=4786781 | - |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/7363 | - |
dc.description | Link to publisher's homepage at http://ieeexplore.ieee.org | en_US |
dc.description.abstract | Biometric 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.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineering (IEEE) | en_US |
dc.relation.ispartofseries | International Conference on Electronic Design (ICED 2008) | en_US |
dc.subject | Biometrics | en_US |
dc.subject | Embedded system | en_US |
dc.subject | Linux | en_US |
dc.subject | Single board computer | en_US |
dc.subject | Biometrics (access control) | en_US |
dc.subject | Computer vision | en_US |
dc.subject | Image processing -- Digital techniques | en_US |
dc.subject | Biometric identification | en_US |
dc.title | Embedded system for biometric identification based on iris detection | en_US |
dc.type | Article | en_US |
dc.contributor.url | ahmadnasir@unimap.edu.my | en_US |
Appears in Collections: | Conference Papers Ali Yeon Md Shakaff, Dato' Prof. Dr. R. Badlishah Ahmad, Prof. Ir. Ts. Dr. Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Abstract.pdf | 7.39 kB | Adobe PDF | View/Open |
Items in UniMAP Library Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.