Document analysis and text recognition: benchmarking state-of-the-art systems
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific
[2018]
|
| Schriftenreihe: | Series in machine perception and artificial intelligence
vol. 82 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Enthält Literaturangaben |
| Beschreibung: | XXII, 280 Seiten Illustrationen, Diagramme |
| ISBN: | 9789813229266 |
Internformat
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| 245 | 1 | 0 | |a Document analysis and text recognition |b benchmarking state-of-the-art systems |c editors: Volker Märgner (Technische Universität Braunschweig, Germany), Umapada Pal (Indian Statistical Institute, India), Apostolos Antonacopoulos (University of Salford, UK) |
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Datensatz im Suchindex
| _version_ | 1804178736287842304 |
|---|---|
| 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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| illustrated | Illustrated |
| indexdate | 2024-07-10T08:08:42Z |
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| language | English |
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| publishDate | 2018 |
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| series | Series in machine perception and artificial intelligence |
| series2 | Series in machine perception and artificial intelligence |
| 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 |
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| volume_link | (DE-604)BV006668231 |
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