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Table of contents (21 chapters)
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Front Matter
Keywords
About this book
Contrary to perhaps common belief, even after several decades of research, automatic fingerprint recognition is not a solved problem. New fingerprint sensing technologies, algorithmic advances, and abundant computing power continue to drive advances in this area and to open up new realms of possibility.
Automatic Fingerprint Recognition Systems thoroughly surveys and examines advances in fingerprint sensing devices and in algorithms for fingerprint image analysis and matching. After an opening chapter on the history of fingerprint recognition, the book moves into new technologies for inkless sensors, fingerprint image analysis techniques, including fingerprint video analysis, filtering and classification and other areas aimed at fully automatic operation. The book also addresses large-scale fingerprint identification system design, as well as standards.
Topics and Features:
* Covers numerous areas related to modern automatic fingerprint recognition, not just its history or forensic analysis
* Examines advances in fingerprint sensing and fingerprint image filtering and preprocessing
* Describes fingerprint feature abstraction, as well as compression and decompression of fingerprint images
* Develops ideas related to large-scale, large-database fingerprint matching
* Assesses new areas such as security in fingerprint matching and the upcoming common criterion protection profile
This authoritative survey provides a unique reference for automatic fingerprint recognition concepts, technologies, and systems. Its editors and contributors are leading researchers and applied R&D developers of this technology. Biometrics and pattern recognition researchers, security professionals, and systems developers will find the work an indispensable resource for current knowledge and technology.
Editors and Affiliations
Bibliographic Information
Book Title: Automatic Fingerprint Recognition Systems
Editors: Nalini Ratha, Ruud Bolle
DOI: https://doi.org/10.1007/b97425
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2004
Hardcover ISBN: 978-0-387-95593-3Published: 09 October 2003
Softcover ISBN: 978-1-4419-3069-9Published: 09 October 2011
eBook ISBN: 978-0-387-21685-0Published: 08 May 2007
Edition Number: 1
Number of Pages: XVII, 458
Number of Illustrations: 173 b/w illustrations
Topics: Pattern Recognition, Computer Graphics, Image Processing and Computer Vision