Document Analysis and Recognition – ICDAR 2023 Workshops -

Document Analysis and Recognition – ICDAR 2023 Workshops

San José, CA, USA, August 24–26, 2023, Proceedings, Part I
Buch | Softcover
XXIII, 327 Seiten
2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-41497-8 (ISBN)
70,61 inkl. MwSt

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Models for Topic Classification in the Domain of Public Affairs.- The Adaptability of a Transformer-based OCR Model for Historical Documents.- Using GANs for Domain Adaptive High Resolution Synthetic Document Generation.- A Survey and Approach to Chart Classification.- Segmentation-Free Alignment of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
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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