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Segmentation And Separation Of Overlapped Latent Fingerprints eBook

Algorithms, Techniques, And Datasets

de Oge Marques, Aleksandar Neskovic e Branka Stojanovic
idioma: inglês
Editor: Springer International Publishing, outubro de 2019 ‧
59,61€
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DISPONIBILIDADE IMEDIATA
Ebook para ADE
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 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.

Segmentation And Separation Of Overlapped Latent Fingerprints

Algorithms, Techniques, And Datasets

de Oge Marques, Aleksandar Neskovic e Branka Stojanovic

Propriedade Descrição
ISBN: 9783030233648
Editor: Springer International Publishing
Data de Lançamento: outubro de 2019
Idioma: Inglês
Tipo de produto: eBook
Formato e Compatibilidade:
Coleção: Springerbriefs In Computer Science
Classificação Temática: eBooks em Inglês > Informática > Outras Aplicações
EAN: 9783030233648
Acessibilidade: Ver características de acessibilidade indicadas pelo editor