Multispectral Biometrics Systems and Applications
Describing several new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris recognition technologies, this book analyzes a number of e
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tispectral Biometrics Systems and Applications
Multispectral Biometrics
David Zhang Zhenhua Guo Yazhuo Gong •
Multispectral Biometrics Systems and Applications
123
David Zhang Biometrics Research Centre The Hong Kong Polytechnic University Hung Hom Hong Kong SAR
Yazhuo Gong University of Shanghai for Science and Technology Shanghai China
Zhenhua Guo Shenzhen Key Laboratory of Broadband Network & Multimedia, Graduate School at Shenzhen Tsinghua University Shenzhen China
ISBN 978-3-319-22484-8 DOI 10.1007/978-3-319-22485-5
ISBN 978-3-319-22485-5
(eBook)
Library of Congress Control Number: 2015947407 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www.springer.com)
Preface
Recently, biometrics technology has been one of the hot research topics in the IT field, because of the demands for accurate personal identification or verification to solve security problems in various applications, such as e-commence, Internet banking, access control, immigration, and law enforcement. In particular, after the 911 terrorist attacks, the interest in biometrics-based security solutions and applications has increased dramatically. Although a lot of traditional biometrics technologies and systems such as fingerprint, face, palmprint, voice, and signature have been greatly development in the past decades, they are application dependent and still have some limitations. Multispectral biometrics technologies are emerging for high security requirement for their advantages: multispectral biometrics could offer a richer information source for feature extraction; multispectral biometrics is more robust to spoof attack since it is more difficult to be duplicated or counterfeited. With the development of multispectral imaging techniques, it is possible to capture multispectral b
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