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Segmentation and Separation of Overlapped Latent Fingerprints

Algorithms, Techniques, and Datasets

  • Branka Stojanović
  • Oge Marques
  • Aleksandar Nešković
Book

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-x
  2. Branka Stojanović, Oge Marques, Aleksandar Nešković
    Pages 1-8
  3. Branka Stojanović, Oge Marques, Aleksandar Nešković
    Pages 9-20
  4. Branka Stojanović, Oge Marques, Aleksandar Nešković
    Pages 21-28
  5. Branka Stojanović, Oge Marques, Aleksandar Nešković
    Pages 29-34
  6. Branka Stojanović, Oge Marques, Aleksandar Nešković
    Pages 35-44
  7. Branka Stojanović, Oge Marques, Aleksandar Nešković
    Pages 45-51

About this book

Introduction

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.

Keywords

Biometrics Latent fingerprints Overlapped fingerprint separation Overlapped fingerprint segmentation Fingerprint verification Fingerprint datasets Machine Learning Neural Networks Deep Learning Convolutional Neural Networks Forensics

Authors and affiliations

  • Branka Stojanović
    • 1
  • Oge Marques
    • 2
  • Aleksandar Nešković
    • 3
  1. 1.Vlatacom Research and Development Institute Ltd BelgradeBelgradeSerbia
  2. 2.College of Engineering and Computer ScienceFlorida Atlantic UniversityBoca RatonUSA
  3. 3.School of Electrical EngineeringUniversity of BelgradeBelgradeSerbia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-23364-8
  • Copyright Information The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-23363-1
  • Online ISBN 978-3-030-23364-8
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site
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