By Topic

Palm print recognition using Local Binary Pattern operator and support vector machines

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
$33 $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)
M. Hanmandlu ; Department of Electrical Engineering, IIT Delhi, India ; Ankit Gureja ; Ankur Jain

This paper presents a novel technique of obtaining the Region of Interest (ROI) which is square-shaped. After palm print segmentation, we perform texture feature extraction using Local Binary Pattern (LBP) based on the directional gradient response. With the feature vectors so obtained we perform matching using Support vector machines (SVM) and also using the Chi-square distance measurement. The experimental results presented in this paper show significant improvement in the performance of the biometric system with a combination of LBP and SVM.

Published in:

Signal and Image Processing (ICSIP), 2010 International Conference on

Date of Conference:

15-17 Dec. 2010