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ORCID4th HIP@ICDAR 2017: Kyoto, Japan
- Proceedings of the 4th International Workshop on Historical Document Imaging and Processing, Kyoto, Japan, November 10-11, 2017. ACM 2017, ISBN 978-1-4503-5390-8
Character Datasets and Text Retrieval
- Dona Valy
, Michel Verleysen, Sophea Chhun, Jean-Christophe Burie:
A New Khmer Palm Leaf Manuscript Dataset for Document Analysis and Recognition: SleukRith Set. 1-6 - Nicholas R. Howe, Minyue Dai, Michael Penn:
Isolated Character Forms from Dated Syriac Manuscripts. 7-12 - Arie Shaus, Eli Turkel:
Towards Letter Shape Prior and Paleographic Tables Estimation in Hebrew First Temple Period Ostraca. 13-18 - Chisato Sugawara, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi:
Text Retrieval for Japanese Historical Documents by Image Generation. 19-24 - Nikolaos Arvanitopoulos, Gaspard Chevassus, Daniele Maggetti, Sabine Süsstrunk:
A Handwritten French Dataset for Word Spotting: CFRAMUZ. 25-30
Character Recognition
- Hung Tuan Nguyen, Nam Tuan Ly, Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa:
Attempts to recognize anomalously deformed Kana in Japanese historical documents. 31-36 - Kha Cong Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa:
Tens of Thousands of Nom Character Recognition by Deep Convolution Neural Networks. 37-41 - Haoyu Qin, Liangrui Peng:
Convolutional Neural Network with Attention Mechanism for Historical Chinese Character Recognition. 42-47 - Martin Jenckel, Syed Saqib Bukhari, Andreas Dengel:
Training LSTM-RNN with Imperfect Transcription: Limitations and Outcomes. 48-53 - Anna Starynska, Roger L. Easton Jr., David W. Messinger:
Methods of data augmentation for palimpsest character recognition with Deep Neural Network. 54-58
Layout Analysis and Complete Workflows
- Chris Tensmeyer, Brian L. Davis, Curtis Wigington, Iain Lee, Bill Barrett:
PageNet: Page Boundary Extraction in Historical Handwritten Documents. 59-64 - Florian Kleber, Markus Diem, Fabian Hollaus, Stefan Fiel:
Mass Digitization of Archival Documents using Mobile Phones. 65-70 - Mathias Seuret, Daniel Stökl Ben Ezra, Marcus Liwicki:
Robust Heartbeat-based Line Segmentation Methods for Regular Texts and Paratextual Elements. 71-76 - Felix Trier, Muhammad Zeshan Afzal, Markus Ebbecke, Marcus Liwicki:
Deep Convolutional Neural Networks for Image Resolution Detection. 77-82 - Christian Clausner, Justin Hayes, Apostolos Antonacopoulos, Stefan Pletschacher:
Creating a Complete Workflow for Digitising Historical Census Documents: Considerations and Evaluation. 83-88
Binarization and Page Segmentation
- Ekta Vats, Anders Hast, Prashant Singh:
Automatic Document Image Binarization using Bayesian Optimization. 89-94 - Michele Alberti, Mathias Seuret, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki:
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks. 95-100 - Seth Stewart, Bill Barrett:
Document Image Page Segmentation and Character Recognition as Semantic Segmentation. 101-106 - Maroua Mehri, Pierre Héroux, Rémy Mullot, Jean-Philippe Moreux, Bertrand Coüasnon, Bill Barrett:
HBA 1.0: A Pixel-based Annotated Dataset for Historical Book Analysis. 107-112
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