Campus Access Only

All rights reserved. This publication is intended for use solely by faculty, students, and staff of University of the Pacific. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, now known or later developed, including but not limited to photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author or the publisher.

Date of Award


Document Type

Thesis - Pacific Access Restricted

Degree Name

Master of Science in Engineering (M.S.Eng.)



First Advisor

Anahita Zarei

First Committee Member

John Mayberry

Second Committee Member

Louise Stark


This research attempts to use a method that can reduce the search time of a system trying to match a user's iris image against those in a very large database. One method to reduce search time is to predict an individual's ethnicity and then only search iris templates belonging to that particular ethnicity in the database. By limiting the search to a small subsection of the database, as opposed to an exhaustive search, this method will cut significant run time from the search process. We propose the use of an adaptive neuro-fuzzy inference system to implement this idea. In addition to the adaptive neuro-fuzzy inference system, we also used the subtractive clustering technique to create membership functions that helped us compare how each iris' texture features were clustered. By combining subtractive clustering with the adaptive neuro-fuzzy inference system, we were able to map each user to a singular value that identified with a specific ethnicity based on their iris characteristic features. This method achieves a classification rate of 80% while maintaining an acceptable search time.





To access this thesis/dissertation you must have a valid email address and log-in to Scholarly Commons.

Find in PacificSearch Find in ProQuest



If you are the author and would like to grant permission to make your work openly accessible, please email


Rights Statement

Rights Statement

In Copyright. URI:
This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).