Cart (Loading....) | Create Account
Close category search window

An improved neural-network-based palm biometric system with rotation detection mechanism

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

3 Author(s)
Chen-Sen Ouyang ; Dept. of Inf. Eng., I-Shou Univ., Kaohsiung, Taiwan ; Rong-Ching Wu ; Chih-Chung Wang

We propose an improved neural-network-based palm biometric system with a rotation detection mechanism. An efficient method is developed for detecting the palm rotation angle in the scanned image by establishing reference line segments and calculating the segment slopes. By integrating this mechanism into our previous work, the limitation of palm rotation angle can be alleviated. Besides, the feature point searching step in can be simplified. Experimental results have shown that the rotation of palms in scanned images can be detected and the feature points can be located correctly.

Published in:

Machine Learning and Cybernetics (ICMLC), 2010 International Conference on  (Volume:6 )

Date of Conference:

11-14 July 2010

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.