Verfügbarkeit: Document analysis and text recognition

Document analysis and text recognition: benchmarking state-of-the-art systems

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Bibliographische Detailangaben
Weitere Verfasser:	Märgner, Volker (HerausgeberIn), Pal, Umapada (HerausgeberIn), Antonacopoulos, Apostolos (HerausgeberIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Singapore World Scientific [2018]
Schriftenreihe:	Series in machine perception and artificial intelligence vol. 82
Schlagworte:	Dokumentanalyse Optische Zeichenerkennung Aufsatzsammlung
Online-Zugang:	Inhaltsverzeichnis
Beschreibung:	Enthält Literaturangaben
Beschreibung:	XXII, 280 Seiten Illustrationen, Diagramme
ISBN:	9789813229266

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Datensatz im Suchindex

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adam_text	Contents Foreword v About the Editors ix List of Contributors xiii Introduction xxi Part I Logical Structure and Segmentation 1 Chapter 1 Logical Structure Extraction from Digitized Books 3 Antoine Doucet 1.1 Introduction 3 1.2 Book Collection 8 1.3 Setting Up the Competition 10 1.4 Related Publications 21 1.5 Conclusions and Perspectives 22 References 24 Chapter 2 Handwriting Segmentation 29 Nikolaos StamatopouloSy Georgios Louloudisy and Basilis Gatos 2.1 Introduction 29 2.2 General Approaches 30 2.3 Methods Participating in the Competitions 32 2.4 Recently Published Methods Using the Competition Data Sets 42 XVII xviii Contents 2.5 Benchmarking Data Sets 45 2.6 Evaluation Methodology 50 2.7 Evaluation Results: Discussion 52 2.8 Conclusions 60 References 61 Part II Digits and Mathematical Expressions 65 Chapter 3 Handwritten Digit and Digit String Recognition 67 Markus Diem, Stefan Fiel, and Florian Kleber 3.1 Introduction 67 3.2 Digit and Digit String Data Sets 68 3.3 General Approaches for Digit and Digit String Recognition 72 3.4 Approaches Submitted to the Competitions 75 3.5 Competition Results 79 3.6 Conclusions 86 References 87 Chapter 4 Handwritten Mathematical Expressions 89 Harold Mouchere, Christian Viard- Gaudin, Richard Zanibi, and Utpal Garain 4.1 Introduction 89 4.2 Description of Data Set 91 4.3 Evaluation Methodology 97 4.4 Overview of Participant Strategies 102 4.5 Description of Approaches Submitted to Competition 105 4.6 Detailed Results from CROHME 2014 108 4.7 Conclusions and Recommendations 113 References 114 Part III Writer Identification and Signature Verification 119 Chapter 5 Writer Identification 121 Georgios Louloudis, Nikolaos Stamatopoulos, and Basilis Gatos 5.1 Introduction 121 5.2 General Approaches 122 5.3 Methods Participating to the Competitions 123 Contents xix 5.4 Recently Published Methods Using the Competition Datasets 129 5.5 Benchmarking Datasets 132 5.6 Evaluation Methodology 137 5.7 Evaluation Results 137 5.8 Conclusions 150 References 151 Chapter 6 Arabic Writer Identification Using AHTID/MW and KHATT Database 155 Fouad Slimane and Sam eh Azuaida 6.1 Introduction 155 6.2 Related Work 156 6.3 Databases Used 159 6.4 Competition Using the AHTID and KHATT Databases 162 6.5 Evaluated Systems 164 6.6 Evaluation 170 6.7 Conclusions and Recommendations 172 Acknowledgments 173 References 173 Chapter 7 Signature Verification: Recent Developments and Perspectives 177 Muhammad Imran Malik, Sheraz Ahmed Andreas Dengel and Marcus Lizuicki 7.1 Introduction 177 7.2 Signature Verification Competition (SigComp2009) 181 7.3 Forensic Signature Verification Competition (4NSigComp2010) 183 7.4 Signature Verification Competition (SigComp2011) 185 7.5 Forensic Signature Verification Competition (4NSigComp2012) 188 7.6 Signature Verification and Writer Identification Competitions (SigWiComp2013) 191 7.7 Signature Verification and Writer Identification Competition (SigWiComp2015) 196 7.8 Discussions and Future Perspectives 201 References 204 xx Contents PartIV Text Recognition 211 Chapter 8 Handwritten Text Recognition Competitions With the tranScriptorium Dataset 213 Joan Andreu Sánchez, Verónica Romero, Alejandro H. Toselli, and Enrique Vidal 8.1 Introduction 213 8.2 The Bentham Datasets Used in the HTR Contests 215 8.3 Contest Protocol and Evaluation Methodology 221 8.4 Existing State-of-the-Art Approaches 224 8.5 HTR Approaches Employed in the Contests 228 8.6 Presentation and Analysis of HTR Contest Results 232 8.7 Remarks and Conclusions 236 References 236 Chapter 9 Multifont and Multisize Low-resolution Arabic Text Recognition Using APTI Database 241 Fouad Slimane and Christine Vanoirbeek 9.1 Introduction 241 9.2 The APTI Database 242 9.3 Organized Competitions Using APTI Database 245 9.4 Text Recognition Systems Evaluated with APTI 247 9.5 Text Segmentation Systems Evaluated with APTI 257 9.6 Font-identification Systems Evaluated with APTI 257 9.7 Evaluation 259 9.8 Conclusions and Recommendations 270 References 271 Index 275
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spelling	Document analysis and text recognition benchmarking state-of-the-art systems editors: Volker Märgner (Technische Universität Braunschweig, Germany), Umapada Pal (Indian Statistical Institute, India), Apostolos Antonacopoulos (University of Salford, UK) Singapore World Scientific [2018] XXII, 280 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Series in machine perception and artificial intelligence vol. 82 Enthält Literaturangaben Dokumentanalyse (DE-588)4209215-2 gnd rswk-swf Optische Zeichenerkennung (DE-588)4310936-6 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Optische Zeichenerkennung (DE-588)4310936-6 s Dokumentanalyse (DE-588)4209215-2 s DE-604 Märgner, Volker (DE-588)1084238829 edt Pal, Umapada edt Antonacopoulos, Apostolos edt Series in machine perception and artificial intelligence vol. 82 (DE-604)BV006668231 82 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030492906&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Document analysis and text recognition benchmarking state-of-the-art systems Series in machine perception and artificial intelligence Dokumentanalyse (DE-588)4209215-2 gnd Optische Zeichenerkennung (DE-588)4310936-6 gnd
subject_GND	(DE-588)4209215-2 (DE-588)4310936-6 (DE-588)4143413-4
title	Document analysis and text recognition benchmarking state-of-the-art systems
title_auth	Document analysis and text recognition benchmarking state-of-the-art systems
title_exact_search	Document analysis and text recognition benchmarking state-of-the-art systems
title_full	Document analysis and text recognition benchmarking state-of-the-art systems editors: Volker Märgner (Technische Universität Braunschweig, Germany), Umapada Pal (Indian Statistical Institute, India), Apostolos Antonacopoulos (University of Salford, UK)
title_fullStr	Document analysis and text recognition benchmarking state-of-the-art systems editors: Volker Märgner (Technische Universität Braunschweig, Germany), Umapada Pal (Indian Statistical Institute, India), Apostolos Antonacopoulos (University of Salford, UK)
title_full_unstemmed	Document analysis and text recognition benchmarking state-of-the-art systems editors: Volker Märgner (Technische Universität Braunschweig, Germany), Umapada Pal (Indian Statistical Institute, India), Apostolos Antonacopoulos (University of Salford, UK)
title_short	Document analysis and text recognition
title_sort	document analysis and text recognition benchmarking state of the art systems
title_sub	benchmarking state-of-the-art systems
topic	Dokumentanalyse (DE-588)4209215-2 gnd Optische Zeichenerkennung (DE-588)4310936-6 gnd
topic_facet	Dokumentanalyse Optische Zeichenerkennung Aufsatzsammlung
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030492906&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV006668231
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