Authors:
- The first dedicated book on contactless 3D fingerprint identification
- Presents a special chapter on contactless 2D/3D to contact-based 2D or conventional fingerprint matching
- Includes a tutorial explanation on recovering and matching the most popular minutiae features in 3D space
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
This important text/reference presents the first dedicated review of techniques for contactless 3D fingerprint identification, including novel and previously unpublished research. The text provides a systematic introduction to 3D fingerprint identification, covering the latest advancements in contactless 2D and 3D sensing technologies, and detailed discussions on each key aspect in the development of an effective 3D fingerprint identification system.
Topics and features: introduces the key concepts and trends in the acquisition and identification of fingerprint images, and a range of 3D fingerprint imaging techniques; proposes a low-cost method for online 3D fingerprint image acquisition, and an efficient 3D fingerprint imaging approach using coloured photometric stereo; describes pre-processing operations on point cloud 3D fingerprint data, and explains the specialized operations for reconstructing 3D fingerprints from live finger scans; examines the representation of minutiae in 3D space, providing details on recovering these features from point cloud data, and on matching such 3D minutiae templates; reviews various 3D fingerprint matching methods, including binary surface code-based approaches and a tetrahedron-based matching approach; discusses the uniqueness of 3D fingerprints, evaluating the benefits of employing 3D fingerprint identification over conventional 2D fingerprint techniques.
This unique work is a must-read for all researchers seeking to make further advances in this area, towards the exciting opportunities afforded by contactless 3D fingerprint identification for improving the hygiene, user convenience, and matching accuracy of fingerprint biometric technologies.Authors and Affiliations
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The Hong Kong Polytechnic University, Kowloon, Hong Kong
Ajay Kumar
About the author
Dr. Ajay Kumar is an Associate Professor in the Department of Computing at the Hong Kong Polytechnic University. He has previously served as an Assistant Professor at the Department of Electrical Engineering, IIT Delhi. He is a Fellow of IEEE and IAPR. His other publications include the Springer title Deep Learning for Biometrics.
Bibliographic Information
Book Title: Contactless 3D Fingerprint Identification
Authors: Ajay Kumar
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-3-319-67681-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Hardcover ISBN: 978-3-319-67680-7Published: 09 November 2018
Softcover ISBN: 978-3-030-09807-0Published: 04 January 2019
eBook ISBN: 978-3-319-67681-4Published: 29 October 2018
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: X, 123
Number of Illustrations: 11 b/w illustrations, 58 illustrations in colour
Topics: Biometrics, Artificial Intelligence, Computational Intelligence, Legal Aspects of Computing