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Segmentation and Separation of Overlapped Laten. StojanoviA, Marques, NeAk<|

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Objectstaat
Nieuw: Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of ...
PublishedOn
2019-11-08
Title
Segmentation and Separation of Overlapped Latent Fingerprints: A
ISBN
9783030233631
Publication Year
2019
Type
Textbook
Format
Paperback
Language
English
Publication Name
Segmentation and Separation of Overlapped Latent Fingerprints: Algorithms, Techniques, and Datasets
Item Height
235mm
Author
Oge Marques, Aleksandar Neskovic, Branka Stojanovic
Publisher
Springer Nature Switzerland A&G
Item Width
155mm
Subject
Computer Science
Item Weight
120g
Number of Pages
51 Pages

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Product Information

This Springerbrief presents an overview of problems and technologies behind segmentation and separation of overlapped latent fingerprints, which are two fundamental steps in the context of fingerprint matching systems. It addresses five main aspects: (1) the need for overlapped latent fingerprint segmentation and separation in the context of fingerprint verification systems; (2) the different datasets available for research on overlapped latent fingerprints; (3) selected algorithms and techniques for segmentation of overlapped latent fingerprints; (4) selected algorithms and techniques for separation of overlapped latent fingerprints; and (5) the use of deep learning techniques for segmentation and separation of overlapped latent fingerprints. 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 for learning 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.

Product Identifiers

Publisher
Springer Nature Switzerland A&G
ISBN-13
9783030233631
eBay Product ID (ePID)
15046705209

Product Key Features

Author
Oge Marques, Aleksandar Neskovic, Branka Stojanovic
Publication Name
Segmentation and Separation of Overlapped Latent Fingerprints: Algorithms, Techniques, and Datasets
Format
Paperback
Language
English
Subject
Computer Science
Publication Year
2019
Type
Textbook
Number of Pages
51 Pages

Dimensions

Item Height
235mm
Item Width
155mm
Item Weight
120g

Additional Product Features

Title_Author
Aleksandar Neskovic, Branka Stojanovic, Oge Marques
Series Title
Springerbriefs in Computer Science
Country/Region of Manufacture
Switzerland

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