Document Analysis and Recognition – ICDAR 2023 Workshops
Springer International Publishing (Verlag)
978-3-031-41497-8 (ISBN)
This two-volume set LNCS 14193-14194 constitutes the proceedings of International Workshops co-located with the 17th International Conference on Document Analysis and Recognition, ICDAR 2023, held in San José, CA, USA, during August 21-26, 2023.
The total of 43 regular papers presented in this book were carefully selected from 60 submissions.
Part I contains 22 regular papers that stem from the following workshops:
ICDAR 2023 Workshop on Computational Paleography (IWCP);
ICDAR 2023 Workshop on Camera-Based Document Analysis and Recognition (CBDAR);
ICDAR 2023 International Workshop on Graphics Recognition (GREC);
ICDAR 2023 Workshop on Automatically Domain-Adapted and Personalized Document Analysis (ADAPDA);
Part II contains 21 regular papers that stem from the following workshops:
ICDAR 2023 Workshop on Machine Vision and NLP for Document Analysis (VINALDO);ICDAR 2023 International Workshop on MachineLearning (WML).
Beyond Human Forgeries: An Investigation into Detecting Diffusion-Generated Handwriting.- Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs.- The Adaptability of a Transformer-based OCR Model for Historical Documents.- Using GANs for Domain Adaptive High Resolution Synthetic Document Generation.- A Survey and Approach to Chart Classification.- Segmentation-Free Alignment of Arbitrary Symbol Transcripts to Images.- Optical Music Recognition: Recent Advances, Current Challenges, and Future Directions.- Reconstruction of Power Lines from Point Clouds.- KangaiSet : A Dataset for Visual Emotion Recognition on Manga.- MuraNet: Multi-task Floor Plan Recognition with Relation Attention.- Automatic Detection of Comic Characters: An Analysis of Model Robustness Across Domains.- FPNet: Deep Attention Network for Automated Floor Plan Analysis.- Detection of buried complex text. Case of Onomatopoeia in comics books.- Text Extraction for Handwritten CircuitDiagram Images.- Can Pre-trained Language Models help in Understanding Handwritten Symbols?.- On Text Localization in End-to-End OCR-Free Document Understanding Transformer without Text Localization Supervision.- IndicSTR12: A Dataset for Indic Scene Text Recognition.- Reconstruction of Broken Writing Strokes in Greek Papyri.- Collaborative Annotation and Computational Analysis of Hieratic.- Efficient Annotation of Medieval Charters.- Greek Literary Papyri Dating Benchmark.- Stylistic Similarities in Greek Papyri based on Letter Shapes: A Deep Learning approach.
| Erscheinungsdatum | 16.08.2023 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XXIII, 327 p. 157 illus., 124 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 533 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Schlagworte | Computational Paleography • Deep learning • digital humanities • Document Image Analysis and Recognition • Graphics Recognition • Natural Language Processing • Optical Character Recognition • Personalized Document Analysis • Table Extraction |
| ISBN-10 | 3-031-41497-7 / 3031414977 |
| ISBN-13 | 978-3-031-41497-8 / 9783031414978 |
| Zustand | Neuware |
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