Dental Image Processing for Human Identification
This book presents an approach to postmortem human identification using dental image processing based on dental features and characteristics, and provides information on various identification systems based on dental features using image processing operat
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Image Processing for Human Identification
Dental Image Processing for Human Identification
Deven N. Trivedi • Nimit D. Shah Ashish M. Kothari • Rohit M. Thanki
Dental Image Processing for Human Identification
Deven N. Trivedi E. C. Department G. H. Patel College of Engineering and Technology Vallabh Vidyanagar, Gujarat, India Ashish M. Kothari Atmiya Institute of Technology and Science Rajkot, Gujarat, India
Nimit D. Shah C. U. Shah University Wadhwan City, Gujarat, India Rohit M. Thanki C. U. Shah University Wadhwan City, Gujarat, India
ISBN 978-3-319-99470-3 ISBN 978-3-319-99471-0 (eBook) https://doi.org/10.1007/978-3-319-99471-0 Library of Congress Control Number: 2018967495 © Springer Nature Switzerland AG 2019 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. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
Biometric systems are used for authentication of a person in many institutions, organization, and agencies. The main reason for use of this system is that it is able to distinguish an authorized person from an unauthorized person. These systems use a person’s physical and/or behavioural biometric traits for authentication. These traits can include fingerprints, facial recognition, eye scans (retina, iris), handwritten signatures, voice and speech recognition, and dental characteristics. For a human identification system, these biometric traits must be time-invariant property; otherwise, false acceptance rate (FAR) of the system will be increased. Recently, dental modalities have played a significant role in human authentication. Disasters, such as plane crashes and car accidents, where the human body is burned due to fire, result in biometric modalities such as facial features, iris, fingerprint, palm print, an
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