Computational Methods in Biometric Authentication Statistical Method
Biometrics, the science of using physical traits to identify individuals, is playing an increasing role in our security-conscious society and across the globe. Biometric authentication, or bioauthentication, systems are being used to secure everything fro
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Information Science and Statistics
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Michael E. Schuckers
Computational Methods in Biometric Authentication Statistical Methods for Performance Evaluation
Prof. Michael E. Schuckers Dept. Mathematics, Computer Science & Statistics St. Lawrence University Canton, NY 13617, USA [email protected] Series Editors Michael Jordan Division of Computer Science and Department of Statistics University of California, Berkeley Berkeley, CA 94720, USA
Bernhard Schölkopf Max Planck Institute for Biological Cybernetics Spemmannstrasse 38 72076 Tübingen Germany
Robert Nowak Department of Electrical and Computer Engineering University of Wisconsin-Madison 3627 Engineering Hall 1415 Engineering Drive Madison, WI 53706, USA
ISSN 1613-9011 ISBN 978-1-84996-201-8 e-ISBN 978-1-84996-202-5 DOI 10.1007/978-1-84996-202-5 Springer London Dordrecht Heidelberg New York British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Library of Congress Control Number: 2010929254 © Springer-Verlag London Limited 2010 Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licenses issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers. The use of registered names, trademarks, etc., in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant laws and regulations and therefore free for general use. The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made. Cover design: deblik, Berlin Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
For Stephanie
Preface
The impetus for this book came from the ‘perfect’ storm of events. As I was preparing for my recent sabbatical, I was involved in several biometrics projects that confirmed for me the need for some basic statistical methods for testing and evaluation of biometric devices. During my sabbatical, in the spring of 2007, I was asked by our host, Fabio Roli of L’Università di Cagliari in Sardinia, to teach a graduate-level short course on my research. In preparing for that course, I was struck by how little quality research had been done for the practicing biometric researcher, tester or engineer in the way of basic statistical methods for measuring the performance of biometric authentication systems or for comparing the performance of two or more such systems. Most of the work
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