By Topic

FPGA-based embedded hand vein biometric authentication system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Eng, P.C. ; Dept. of Microelectron. & Comput. Eng., Univ. Technol. Malaysia (UTM), Skudai, Malaysia ; Khalil-Hani, M.

Biometric authentication provides a high security and reliable approach to be used in security access system. However, this authentication method has not been widely implemented in a resource-constrained embedded system. In this project, we investigate a method of personal authentication based on infrared vein pattern in the back of the hand, targeted for embedded system which is implemented in Altera Nios II FPGA prototyping system, running on Real Time Operating System (RTOS). The RTOS applied is Nios2-Linux. A biometric feature is extracted from the vein pattern image and then matched for personal authentication. The algorithm consists of four modules: image capturing, image pre-processing, feature extraction, and the authentication module. These image processing algorithms executed in an embedded system with a 50 MHz fixed point processor. Preliminary experiment on a database of 82 images of 15 candidates show promising result with the system reaching equal error rate of 5.5%.

Published in:

TENCON 2009 - 2009 IEEE Region 10 Conference

Date of Conference:

23-26 Jan. 2009