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An integrated reading and editing environment for scholarly research on literary works and their handwritten sources

E. Lecolinet, L. Likforman-Sulem, L. Robert, F. Role, J-L. Lebrave
1998 Proceedings of the third ACM conference on Digital libraries - DL '98  
First, capabilities are offered to transcribe manuscript images. Transcribing the text consists in coupling lines typed on the keyboard with their corresponding text lines in the manuscript images.  ...  We present an integrated system devoted to the visualization and the editing of hypermedia documents from literary material including document images and structured text.  ...  This project was made possible thanks to a grant of the GIS "Sciences de la Cognition".  ... 
doi:10.1145/276675.276691 dblp:conf/dl/LecolinetLRRL98 fatcat:b2jrummwvveubmwqpeg2hpic3i

Towards a Digital Infrastructure for Illustrated Handwritten Archives [chapter]

Andreas Weber, Mahya Ameryan, Katherine Wolstencroft, Lise Stork, Maarten Heerlien, Lambert Schomaker
2018 Lecture Notes in Computer Science  
This is in contrast to our infrastructure which aims to resolve heterogeneous handwritten manuscript pages in which different scripts and images are narrowly intertwined.  ...  By combining text and image recognition, we significantly transcend beyond the state-of-the art, and provide meaningful additions to integrated manuscript recognition.  ...  , classification and linking of 11 knowledge from historical manuscript collections.  ... 
doi:10.1007/978-3-319-75826-8_13 fatcat:ytej62msh5b4xfmgyuh4srnq3a

: A Case Analysis of Good Practices for Building a Virtual Library and Reunifying Dispersed Handwritten Collections

Fabio Cusimano
2014 Procedia Computer Science  
As is stated in the website, "the goal of the project is to provide access to all medieval and selected early modern manuscripts of Switzerland via a virtual library", virtually reunifying dispersed handwritten  ...  This essay will focus on a case study of good practices in the field of projection and circulation of digital contents for humanistic research, starting from handwritten sources: the project.  ...  for other specific uses (its very adaptability is one of the main reasons of the success of XML); the encoding of information linked to handwritten primary sources cannot prescind from the original bibliographical  ... 
doi:10.1016/j.procs.2014.10.020 fatcat:y7ynhlv2bvfppauha4stvorhoq

Connecting Medieval and Renaissance Manuscript Collections

Toby Burrows
2018 Open Library of Humanities  
Mapping Manuscript Migrations is building a coherent framework for linking manuscript-related data from different sources, using Linked Data principles.  ...  vocabularies, but also in digital editions, transcriptions, There are numerous sources of evidence about these manuscripts, ranging from handwritten inventories to Phillipps's own printed catalogue to  ... 
doi:10.16995/olh.269 fatcat:i7nig6ikmvfaphwic3hckodova

Linking Syriac Liturgies: Digitizing Card Collections and Handwritten Notes from the Archives of the Peshitta Institute

Wido van Peursen, Geert Jan Veldman
2020 Research Data Journal for the Humanities and Social Sciences  
Data Project" (kdp) Linking Syriac Liturgies (2018–2019).  ...  The notes relate to a wealth of information about manuscripts, liturgical traditions and calendars and various Syriac Bible translations.  ...  Acknowledgement The authors wish to express their gratitude to Joas Haster for his correction of the English text.  ... 
doi:10.1163/24523666-bja10003 fatcat:lx6c5htxejdr5dh5h3bawf34aq

Architecture of A Semantic Annotation of Handwritten Documents Based on the Ontology "OMOS"

Aiche Mint Aboubekrine, Kamal Eddine EL Kadiri, Mohamed Lamine Diakité, Youness Tabii
2017 Transactions on Machine Learning and Artificial Intelligence  
In this work we propose to present an application that supports the representation of manuscript documents according to an ontological approach.  ...  The implementation of this application makes it possible to annotate semantically these manuscripts according to the ontology "OMOS" [1].  ...  The second level is linked to knowledge coming directly from the contents of the manuscript.  ... 
doi:10.14738/tmlai.54.3221 fatcat:cbzfnfqqkjfblc6hrf6ccwvik4

Handwritten and Machine printed OCR for Geez Numbers Using Artificial Neural Network [article]

Eyob Gebretinsae Beyene
2019 arXiv   pre-print
On this study, different Geez image characters were collected from google image search and three persons are instructed to write the numbers using pencil.  ...  However studies excluded the Geez numbers from the studies because of different reasons.  ...  In order to keep the Ethiopian history, it is essential to digitize such manuscripts in to text format.  ... 
arXiv:1911.06845v1 fatcat:k2dw2tf7tbdehfas3sxkmvxbaa

Few Shots Are All You Need: A Progressive Few Shot Learning Approach for Low Resource Handwriting Recognition [article]

Mohamed Ali Souibgui, Alicia Fornés, Yousri Kessentini, Beáta Megyesi
2022 arXiv   pre-print
Handwritten text recognition in low resource scenarios, such as manuscripts with rare alphabets, is a challenging problem.  ...  approach that automatically assigns pseudo-labels to the non-annotated data.  ...  Acknowledgement This work has been supported by the Swedish Research Council, grant 2018-06074, DECRYPT-Decryption of Historical Manuscripts, the Spanish project RTI2018-095645-B-C21 and the CERCA Program  ... 
arXiv:2107.10064v2 fatcat:go6ohcvk7rfc3keez6uplnjdqu

An Analysis of Challenges in Character Recognition on Palm Leaf Manuscripts, and Their Solutions

2020 International journal of recent technology and engineering  
The process of Knowledge retrieval from these manuscripts begins with the first step of Character Recognition.  ...  This primary step itself is a very complex task due to the variety of scripts and handwritings on the palm leaf manuscripts.  ...  As these palm leaf manuscripts are the invaluable property which we got from our ancestors, it is our responsibility to preserve them from being deteriorated.  ... 
doi:10.35940/ijrte.f8339.038620 fatcat:ob2r33c5b5ehbhm5yfgbup5soa

Handwritten text generation and strikethrough characters augmentation [article]

Alex Shonenkov, Denis Karachev, Max Novopoltsev, Mark Potanin, Denis Dimitrov, Andrey Chertok
2021 arXiv   pre-print
Because these data augmentation techniques are independent of the network used, they could also be applied to enhance the performance of other networks and approaches to HTR.  ...  We apply a novel augmentation that simulates strikethrough text (HandWritten Blots) and a handwritten text generation method based on printed text (StackMix), which proved to be very effective in HTR tasks  ...  For example, it took a team of 10-15 historians about three months to decipher 662 pages of manuscripts from the Digital Peter dataset.  ... 
arXiv:2112.07395v1 fatcat:5kwex6tsm5az5iz5jejhr4vvwq

Enriching Historical Manuscripts: The Bovary Project [chapter]

Stéphane Nicolas, Thierry Paquet, Laurent Heutte
2004 Lecture Notes in Computer Science  
In this paper we describe the Bovary Project, a manuscripts digitization project of the famous French writer Gustave FLAUBERT first great work, which should end in 2006 by providing an online access to  ...  Finally we propose a new approach for the segmentation of handwritten documents.  ...  Manuscripts Digitization Projects Considering the lack of tools adapted to work on manuscripts and to the edition of electronic documents from handwritten sources, some projects have tried these last years  ... 
doi:10.1007/978-3-540-28640-0_13 fatcat:dhzvqrnnmbddpolnsekhxpygzy

A Novel Approach for Recognizing Text in Arabic Ancient Manuscripts

Ashraf Nijim, Ayman El Shenawy, Muhammad T. Mostafa, Reda Abo Alez
2015 International Journal on Natural Language Computing  
The third part is the intermediate text generation, in this part an intermediate presentation of the Arabic text is generated from the XML text file.  ...  The output of this subsystem is an XML file format that represents the ancient manuscript text.  ...  Fig margins of a manuscript. After that, skew detection was applied to detect any slant in the handwritten text.  ... 
doi:10.5121/ijnlc.2015.4601 fatcat:hz3xmbljnfc4vncgd7i4on22si

Chemotherapy e-prescribing: opportunities and challenges

Khaled Elsaid, Christine Collins, Steven Garguilo
2015 Integrated Pharmacy Research and Practice  
These error types have persisted when switching from handwritten to preprinted order sets.  ...  Link to drug therapy guidelines and laboratory monitoring orders are suggested.  ... 
doi:10.2147/iprp.s84232 pmid:29354518 pmcid:PMC5741026 fatcat:6qmhu56zmjfrrlhdlswncdf6ca

Beyond OCR: Multi-faceted understanding of handwritten document characteristics

Sheng He, Lambert Schomaker
2017 Pattern Recognition  
We evaluate these features for different applications from four different perspectives to understand handwritten documents beyond OCR (optical character reognition), by writer identification, script recognition  ...  , historical manuscript dating and localization.  ...  The authors would like to thank Shijie Zhao and Yanfang Feng to collect the CERUG data set and Petros Samara and Prof. Jan Burgers to collect the MPS data set.  ... 
doi:10.1016/j.patcog.2016.09.017 fatcat:f72sfua43veule2abm4qm267wu

Detection of Text Lines of Handwritten Arabic Manuscripts using Markov Decision Processes

Youssef Boulid, Abdelghani Souhar, Mohamed Youss Elkettani
2016 International Journal of Interactive Multimedia and Artificial Intelligence  
In this paper we present an approach based on Markov Decision Processes to extract text lines from binary images of Arabic handwritten documents.  ...  The initial results show that the system is promising for extracting Arabic handwritten lines.  ...  So from this list we recover all the linked components participating to the same line.  ... 
doi:10.9781/ijimai.2016.416 fatcat:bqezltxjfrctrfzmhfyk5bjt2u
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