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ORCID2nd HIP@ICDAR 2013: Washington, DC, USA
- Volkmar Frinken, Bill Barrett, R. Manmatha, Volker Märgner:
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing, HIP@ICDAR 2013, Washington, DC, USA, August 24, 2013. ACM 2013, ISBN 978-1-4503-2115-0
Reconstruction and degradation
- George V. Landon:
Automatic photometric restoration of historical photographic negatives. 1-7 - Róisín Rowley-Brooke, François Pitié
, Anil C. Kokaram:
Nonrigid recto-verso registration using page outline structure and content preserving warps. 8-13 - Kazim Pal, Melissa Terras, Tim Weyrich:
3D reconstruction for damaged documents: imaging of the great parchment book. 14-21 - Truyen Van Phan, Hajime Baba, Akihiro Watanabe, Masaki Nakagawa:
A re-assembling scheme of fragmented Mokkan images. 22-28 - Van Cuong Kieu, Muriel Visani, Nicholas Journet, Rémy Mullot, Jean-Philippe Domenger:
An efficient parametrization of character degradation model for semi-synthetic image generation. 29-35
Information extraction and retrieval
- David Fernández, Simone Marinai, Josep Lladós, Alicia Fornés:
Contextual word spotting in historical manuscripts using Markov logic networks. 36-43 - Thomas L. Packer, David W. Embley:
Cost effective ontology population with data from lists in OCRed historical documents. 44-52 - Raid Saabni:
The multi angular descriptor (MAD): a binary and gray images descriptor for shape recognition. 53-58 - Fredrik Wahlberg, Anders Brun:
Feature space denoising improves word spotting. 59-66
Text and image recognition
- Volkmar Frinken, Andreas Fischer, Carlos D. Martínez-Hinarejos:
Handwriting recognition in historical documents using very large vocabularies. 67-72 - Andreas Fischer, Muriel Visani, Van Cuong Kieu, Ching Y. Suen:
Generation of learning samples for historical handwriting recognition using image degradation. 73-79 - Mayce Ibrahim Ali Al Azawi, Muhammad Zeshan Afzal, Thomas M. Breuel:
Normalizing historical orthography for OCR historical documents using LSTM. 80-85 - William B. Lund, Douglas J. Kennard, Eric K. Ringger:
Why multiple document image binarizations improve OCR. 86-93 - Ramya Srinivasan, Amit K. Roy-Chowdhury, Conrad Rudolph, Jeanette Kohl:
Quantitative modeling of artist styles in Renaissance face portraiture. 94-101
Segmentation, layout analysis, and databases
- Maroua Mehri, Petra Gomez-Krämer, Pierre Héroux, Alain Boucher, Rémy Mullot:
Texture feature evaluation for segmentation of historical document images. 102-109 - Rafi Cohen, Abedelkadir Asi, Klara Kedem, Jihad El-Sana, Its'hak Dinstein:
Robust text and drawing segmentation algorithm for historical documents. 110-117 - Chulapong Panichkriangkrai, Liang Li, Kozaburo Hachimura:
Character segmentation and retrieval for learning support system of Japanese historical books. 118-122 - Christos Papadopoulos, Stefan Pletschacher, Christian Clausner, Apostolos Antonacopoulos:
The IMPACT dataset of historical document images. 123-130
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