By Topic

Human recognition using fusion of IRIS and Ear data

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

2 Author(s)
Mishra, R. ; PSIT, Kanpur, India ; Pathak, V.

This paper proposes a technique for human identification using fusion of ear and iris data. It uses the Haar wavelet technique for feature extraction from ear as well as iris data. Extracted features are fused and used for identification. It is found that proposed technique performs better than the systems where only ear or iris data is used. Results are also compared with the other wavelet feature techniques such as db4 and db8.

Published in:

Methods and Models in Computer Science, 2009. ICM2CS 2009. Proceeding of International Conference on

Date of Conference:

14-15 Dec. 2009