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Table of contents (6 chapters)
Keywords
About this book
By offering a structured overview of the most important approaches currently available, putting them in perspective, and suggesting numerous resources for further exploration, this book gives its readers a clear path forlearning new topics and engaging in related research. Written from a technical perspective, and yet using language and terminology accessible to non-experts, it describes the technologies, introduces relevant datasets, highlights the most important research results in each area, and outlines the most challenging open research questions.
This Springerbrief targets researchers, professionals and advanced-level students studying and working in computer science, who are interested in the field of fingerprint matching and biometrics. Readers who want to deepen their understanding of specific topics will find more than one hundred references to additional sources of related information.
Authors and Affiliations
Bibliographic Information
Book Title: Segmentation and Separation of Overlapped Latent Fingerprints
Book Subtitle: Algorithms, Techniques, and Datasets
Authors: Branka Stojanović, Oge Marques, Aleksandar Nešković
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-3-030-23364-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-23363-1Published: 08 November 2019
eBook ISBN: 978-3-030-23364-8Published: 22 October 2019
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: X, 51
Number of Illustrations: 11 b/w illustrations, 21 illustrations in colour
Topics: Biometrics, Artificial Intelligence