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000916161 019__ $$a1125970204$$a1125997477$$a1126213890$$a1126627362
000916161 020__ $$a9783030233648$$q(electronic book)
000916161 020__ $$a3030233642$$q(electronic book)
000916161 020__ $$z9783030233631
000916161 020__ $$z3030233634
000916161 0247_ $$a10.1007/978-3-030-23364-8$$2doi
000916161 0247_ $$a10.1007/978-3-030-23
000916161 035__ $$aSP(OCoLC)on1125967608
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000916161 050_4 $$aTK7882.B56$$b.S76 2019eb
000916161 08204 $$a006.4$$223
000916161 1001_ $$aStojanović, Branka,$$eauthor.
000916161 24510 $$aSegmentation and separation of overlapped latent fingerprints :$$balgorithms, techniques, and datasets /$$cBranka Stojanović, Oge Marques, Aleksandar Nešković.
000916161 264_1 $$aCham :$$bSpringer,$$c[2019]
000916161 264_4 $$c©2019
000916161 300__ $$a1 online resource :$$billustrations.
000916161 336__ $$atext$$btxt$$2rdacontent
000916161 337__ $$acomputer$$bc$$2rdamedia
000916161 338__ $$aonline resource$$bcr$$2rdacarrier
000916161 4901_ $$aSpringerBriefs in computer science,$$x2191-5768
000916161 504__ $$aIncludes bibliographical references.
000916161 5050_ $$a1 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.
000916161 506__ $$aAccess limited to authorized users.
000916161 520__ $$aThis 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.
000916161 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 31, 2019).
000916161 650_0 $$aFingerprints$$xData processing.
000916161 650_0 $$aBiometric identification.
000916161 7001_ $$aMarques, Oge,$$eauthor.
000916161 7001_ $$aNešković, Aleksandar,$$eauthor.
000916161 77608 $$iPrint version: $$z3030233634$$z9783030233631$$w(OCoLC)1103987723
000916161 830_0 $$aSpringerBriefs in computer science.
000916161 852__ $$bebk
000916161 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-23364-8$$zOnline Access$$91397441.1
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