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|Title: ||Embedded system for biometric identification based on iris detection|
|Authors: ||Ahmad Nasir, Che Rosli|
R. Badlishah, Ahmad
Ali Yeon, Md Shakaff
Mohamad Rizon, Mohamed Juhari
|Keywords: ||Biometrics;Embedded system;Linux;Single board computer;Biometrics (access control);Computer vision;Image processing -- Digital techniques;Biometric identification|
|Issue Date: ||1-Dec-2008|
|Publisher: ||Institute of Electrical and Electronics Engineering (IEEE)|
|Series/Report no.: ||International Conference on Electronic Design (ICED 2008)|
|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.|
|Description: ||Link to publisher's homepage at http://ieeexplore.ieee.org|
|Appears in Collections:||Conference Papers|
Ali Yeon, Md Shakaff, Prof. Dr.
R. Badlishah Ahmad, Prof. Dr.
Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr.
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