Stojanovic / Stojanovi? / Marques Segmentation and Separation of Overlapped Latent Fingerprints

Algorithms, Techniques, and Datasets
1. Auflage 2019
ISBN: 978-3-030-23364-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 61 Seiten

Reihe: SpringerBriefs in Computer Science

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.

Autoren/Hrsg.

Stojanovic, Branka

Stojanovi?, Branka

Marques, Oge

Neskovic, Aleksandar

Neškovi?, Aleksandar

Inhaltsverzeichnis

1;Preface;7
2;Contents;9
3;1 Latent Fingerprints Matching Systems;11
3.1;1.1 Introduction;11
3.2;1.2 Latent Fingerprints;12
3.3;1.3 Manual Latent Fingerprints Matching: The ACE-V Method;12
3.4;1.4 Automated Latent Fingerprints Matching System;13
3.5;1.5 Overlapped Fingerprints;14
3.6;1.6 Concluding Remarks;16
3.7;References;17
4;2 Latent Fingerprint Datasets;19
4.1;2.1 Introduction;19
4.2;2.2 Latent Fingerprint Datasets;20
4.2.1;2.2.1 Publicly Available Latent Fingerprint Datasets;20
4.2.2;2.2.2 Specialized Overlapped Latent Fingerprint Datasets;21
4.3;2.3 The Vlatacom Dataset;22
4.3.1;2.3.1 Motivation;22
4.3.2;2.3.2 Requirements;23
4.3.3;2.3.3 Dataset Structure and Organization;23
4.3.4;2.3.4 Additional Aspects;26
4.3.5;2.3.5 Experiments and Results;27
4.4;2.4 Concluding Remarks;29
4.5;References;30
5;3 Overlapped Latent Fingerprints Segmentation: Problem Definition;31
5.1;3.1 Introduction;31
5.2;3.2 The Mask Segmentation Problem;32
5.3;3.3 Evaluation Methodology;35
5.4;3.4 Concluding Remarks;37
5.5;References;38
6;4 Machine Learning Based Segmentation of Overlapped Latent Fingerprints;39
6.1;4.1 Introduction;39
6.2;4.2 Description of the Algorithm;39
6.2.1;4.2.1 CNN Architecture;40
6.2.2;4.2.2 CNN Training;41
6.3;4.3 Experimental Evaluation;42
6.4;4.4 Concluding Remarks;44
6.5;References;44
7;5 Overlapped Latent Fingerprints Separation: Problem Definition;45
7.1;5.1 Introduction;45
7.2;5.2 Orientation Field Estimation;46
7.2.1;5.2.1 Orientation Field Estimation Algorithms for Single Fingerprint;47
7.2.2;5.2.2 Orientation Field Estimation Algorithms for Overlapped Fingerprints;48
7.3;5.3 Overlapped Latent Fingerprint Separation: Representative Approaches;49
7.4;5.4 Evaluation Methodology;51
7.5;5.5 Concluding Remarks;52
7.6;References;52
8;6 Machine Learning Based Separation of Overlapped Latent Fingerprints;55
8.1;6.1 Introduction;55
8.2;6.2 Segmentation;56
8.3;6.3 Initial Orientation Field Estimation and Enhancement;57
8.3.1;6.3.1 Initial Orientation Field Estimation;57
8.3.2;6.3.2 Single Region Orientation Field Enhancement;57
8.4;6.4 Orientation Separation;58
8.5;6.5 Neural Network: Architecture and Training;58
8.6;6.6 Experimental Evaluation;59
8.7;6.7 Concluding Remarks;60
8.8;References;61