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ORCID1st HIP@ICDAR 2011: Beijing, China
- Bill Barrett, Michael S. Brown, R. Manmatha, Jake Gehring:
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing, HIP@ICDAR 2011, Beijing, China, September 16-17, 2011. ACM 2011, ISBN 978-1-4503-0916-5
Language diversity
- Emma Dalton, Nicholas R. Howe:
Style-based retrieval for ancient Syriac manuscripts. 1-5 - Youssouf Chherawala, Robert Wisnovsky, Mohamed Cheriet:
TSV-LR: topological signature vector-based lexicon reduction for fast recognition of pre-modern Arabic subwords. 6-13 - Thanawin Rakthanmanon, Qiang Zhu, Eamonn J. Keogh:
Searching historical manuscripts for near-duplicate figures. 14-21 - Abedelkadir Asi, Irina Rabaev
, Klara Kedem, Jihad El-Sana:
User-assisted alignment of Arabic historical manuscripts. 22-28 - Andreas Fischer, Volkmar Frinken, Alicia Fornés, Horst Bunke:
Transcription alignment of Latin manuscripts using hidden Markov models. 29-36 - Xiafen Zhang, George Nagy:
The CADAL calligraphic database. 37-42
Mining documents
- Douglas J. Kennard, Andrew M. Kent, William A. Barrett:
Linking the past: discovering historical social networks from documents and linking to a genealogical database. 43-50 - Cédric Sibade, Thomas Retornaz, Thibauld Nion, Romain Lerallut, Christopher Kermorvant:
Automatic indexing of French handwritten census registers for probate geneaology. 51-58 - David W. Embley, Spencer Machado, Thomas L. Packer, Joseph S. Park, Andrew Zitzelberger, Stephen W. Liddle, Nathan Tate, Deryle W. Lonsdale:
Enabling search for facts and implied facts in historical documents. 59-66 - Thomas L. Packer:
Performing information extraction to improve OCR error detection in semi-structured historical documents. 67-74 - Fredrik Wahlberg, Mats Dahllöf, Lasse Mårtensson, Anders Brun:
Data mining medieval documents by word spotting. 75-82 - Alicia Fornés, Volkmar Frinken, Andreas Fischer, Jon Almazán, Gabriel Jackson, Horst Bunke:
A keyword spotting approach using blurred shape model-based descriptors. 83-90
Imaging, visualization, and structure
- Lukas Gander, Cornelia Lezuo, Raphael Unterweger:
Rule based document understanding of historical books using a hybrid fuzzy classification system. 91-97 - Rachid Hedjam, Mohamed Cheriet:
Combining statistical and geometrical classifiers for text extraction in multispectral document images. 98-105 - Po Yang, Apostolos Antonacopoulos, Christian Clausner, Stefan Pletschacher:
Grid-based modelling and correction of arbitrarily warped historical document images for large-scale digitisation. 106-111 - Simone Marinai, Alessio Anzivino, Matteo Spampani:
Towards a faithful visualization of historical books on e-book readers. 112-119 - Abedelkadir Asi, Raid Saabni, Jihad El-Sana:
Text line segmentation for gray scale historical document images. 120-126 - Takahiro Shima, Kengo Terasawa, Toshio Kawashima:
Image processing for historical newspaper archives. 127-132
Segmentation and extraction
- Truyen Van Phan, Bilan Zhu, Masaki Nakagawa:
Development of Nom character segmentation for collecting patterns from historical document pages. 133-139 - Rapeeporn Chamchong, Chun Che Fung:
Character segmentation from ancient palm leaf manuscripts in Thailand. 140-145 - Alessandra B. S. Almeida, Rafael Dueire Lins, Gabriel de França Pereira e Silva:
Thanatos: automatically retrieving information from death certificates in Brazil. 146-153
Systems and frameworks for historical document processing
- Hildelies Balk, Aly Kaloa Conteh:
IMPACT: centre of competence in text digitisation. 155-160 - Clemens Neudecker, Sven Schlarb, Zeki Mustafa Dogan, Paolo Missier, Shoaib Sufi, Alan R. Williams, Katy Wolstencroft:
An experimental workflow development platform for historical document digitisation and analysis. 161-168 - Rafael Dueire Lins, Gabriel de França Pereira e Silva, Andrei de Araújo Formiga:
HistDoc v. 2.0: enhancing a platform to process historical documents. 169-176 - Ines Ben Messaoud, Haikal El Abed, Volker Märgner, Hamid Amiri:
A design of a preprocessing framework for large database of historical documents. 177-183
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