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Segmentation and Separation of Overlapped Latent Fingerprints = Algorithms, Techniques, and Datasets /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Segmentation and Separation of Overlapped Latent Fingerprints/ by Branka Stojanović, Oge Marques, Aleksandar Nešković.
Reminder of title:	Algorithms, Techniques, and Datasets /
Author:	Stojanović, Branka.
other author:	Marques, Oge.
Description:	X, 51 p. 32 illus., 21 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Biometrics (Biology). -
Online resource:	https://doi.org/10.1007/978-3-030-23364-8
ISBN:	9783030233648

Segmentation and Separation of Overlapped Latent Fingerprints = Algorithms, Techniques, and Datasets /
Stojanović, Branka.

Segmentation and Separation of Overlapped Latent FingerprintsAlgorithms, Techniques, and Datasets /[electronic resource] :by Branka Stojanović, Oge Marques, Aleksandar Nešković. - 1st ed. 2019. - X, 51 p. 32 illus., 21 illus. in color.online resource. - SpringerBriefs in Computer Science,2191-5768. - SpringerBriefs in Computer Science,.

1 Latent fingerprint matching systems -- 2 Latent fingerprint datasets -- 3 Overlapped latent fingerprints segmentation: problem definition -- 4 Machine learning based segmentation of overlapped latent fingerprints -- 5 Overlapped latent fingerprints separation: problem definition -- 6 Machine learning based separation of overlapped latent fingerprints.

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.

ISBN: 9783030233648

Standard No.: 10.1007/978-3-030-23364-8doiSubjects--Topical Terms:

1249740
Biometrics (Biology).

LC Class. No.: QH323.5

Dewey Class. No.: 570.15195

Segmentation and Separation of Overlapped Latent Fingerprints = Algorithms, Techniques, and Datasets /
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