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

Classification of thumbprint using Artificial Neural Network (ANN)

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

4 Author(s)
Naim, N.F. ; Fac. of Electr. Engineeering, Universitit Teknol. MARA (UiTM), Shah Alam, Malaysia ; Yassin, A. ; Zakaria, N.B. ; Ab Wahab, N.

This paper presents the classification of thumbprint using Artificial Neural Network (ANN). The ANN technique is conducted in order to improve the minutia extraction techniques. The classification of thumbprint is used in order to match the person's identification and train the data by using ANN. The data of thumbprint is taken from five different people. For each person, 30 thumbprint data is taken. All the data will be the input for artificial neural network for learning purposes. All the data will be adjusted using Corel. Then by using Matlab software, the data is trained and tested according to the artificial neural network program. This is to ensure that the output is matched with the input data. The result will be shown in the graph to identify whether the system is sufficient for training the thumbprint data. It can also be used for person identification. Therefore, the result shows that the system is accurate in training the data.

Published in:

System Engineering and Technology (ICSET), 2011 IEEE International Conference on

Date of Conference:

27-28 June 2011

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.