Advanced Fingerprint Recognition: From 3D Shape to Ridge Detail Hardback
by Feng Liu, Qijun Zhao, David Zhang
Hardback
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Description
Fingerprints are among the most widely used biometric modalities and have been successfully applied in various scenarios.
For example, in forensics, fingerprints serve as important legal evidence; and in civilian applications, fingerprints are used for access and attendance control as well as other identity services.
Thanks to advances in three-dimensional (3D) and high-resolution imaging technology, it is now feasible to capture 3D or high-resolution fingerprints to provide extra information and go beyond the traditional features such as global ridge patterns and local ridge singularities used in conventional fingerprint recognition tasks.
This book presents the state of the art in the acquisition and analysis of 3D and high-resolution fingerprints.
Based on the authors’ research, this book focuses on advanced fingerprint recognition using 3D fingerprint features (i.e., finger shape, level 0 features) or high-resolution fingerprint features (i.e., ridge detail, level 3 features).
It is a valuable resource for researchers, professionals and graduate students working in the field of computer vision, pattern recognition, security/biometrics practice, as well as interdisciplinary researchers.
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Out of Stock - We are unable to provide an estimated availability date for this product
- Format:Hardback
- Pages:214 pages, 109 Illustrations, color; 24 Illustrations, black and white; X, 214 p. 133 illus., 109 il
- Publisher:Springer Verlag, Singapore
- Publication Date:23/05/2020
- Category:
- ISBN:9789811541278
Other Formats
- PDF from £76.08
- Paperback / softback from £63.29
Information
-
Out of Stock - We are unable to provide an estimated availability date for this product
- Format:Hardback
- Pages:214 pages, 109 Illustrations, color; 24 Illustrations, black and white; X, 214 p. 133 illus., 109 il
- Publisher:Springer Verlag, Singapore
- Publication Date:23/05/2020
- Category:
- ISBN:9789811541278