Results 1 to 10 of about 108 (100)

HTR for Greek Historical Handwritten Documents [PDF]

Journal of Imaging, 2021
Offline handwritten text recognition (HTR) for historical documents aims for effective transcription by addressing challenges that originate from the low quality of manuscripts under study as well as from several particularities which are related to the ...
Lazaros Tsochatzidis, Symeon Symeonidis, Alexandros Papazoglou, Ioannis Pratikakis   +3 more
doaj   +2 more sources

Enhancement of handwritten text recognition using AI-based hybrid approach [PDF]

MethodsX
Handwritten text recognition (HTR) within computer vision and image processing stands as a prominent and challenging research domain, holding significant implications for diverse applications.
Supriya Mahadevkar, Shruti Patil, Ketan Kotecha   +2 more
doaj   +2 more sources

Enhancing handwritten text recognition accuracy with gated mechanisms [PDF]

Scientific Reports
Handwritten Text Recognition (HTR) is a challenging task due to the complex structures and variations present in handwritten text. In recent years, the application of gated mechanisms, such as Long Short-Term Memory (LSTM) networks, has brought ...
Ravikumar Chinthaginjala, C. Dhanamjayulu, Tai-hoon Kim, Suhaib Ahmed, Si-Yeong Kim, A. S. Kumar, Visalakshi Annepu, Shafiq Ahmad   +7 more
doaj   +2 more sources

Advancements and Challenges in Handwritten Text Recognition: A Comprehensive Survey [PDF]

Journal of Imaging
Handwritten Text Recognition (HTR) is essential for digitizing historical documents in different kinds of archives. In this study, we introduce a hybrid form archive written in French: the Belfort civil registers of births.
Wissam AlKendi, Franck Gechter, Laurent Heyberger, Christophe Guyeux   +3 more
doaj   +2 more sources

Historical Text Line Segmentation Using Deep Learning Algorithms: Mask-RCNN against U-Net Networks [PDF]

Journal of Imaging
Text line segmentation is a necessary preliminary step before most text transcription algorithms are applied. The leading deep learning networks used in this context (ARU-Net, dhSegment, and Doc-UFCN) are based on the U-Net architecture.
Florian Côme Fizaine, Patrick Bard, Michel Paindavoine, Cécile Robin, Edouard Bouyé, Raphaël Lefèvre, Annie Vinter   +6 more
doaj   +2 more sources

The Challenges of HTR Model Training: Feedback from the Project Donner le gout de l'archive a l'ere numerique [PDF]

Journal of Data Mining and Digital Humanities, 2023
The arrival of handwriting recognition technologies offers new possibilities for research in heritage studies. However, it is now necessary to reflect on the experiences and the practices developed by research teams.
Beatrice Couture, Farah Verret, Maxime Gohier, Dominique Deslandres   +3 more
doaj   +1 more source

EpiSearch. Identifying Ancient Inscriptions in Epigraphic Manuscripts [PDF]

Journal of Data Mining and Digital Humanities, 2023
Epigraphic documents are an essential source of evidence for our knowledge of the ancient world. Nonetheless, a significant number of inscriptions have not been preserved in their material form.
Lorenzo Calvelli, Federico Boschetti, Tatiana Tommasi   +2 more
doaj   +1 more source

Gated Convolution and Stacked Self-Attention Encoder–Decoder-Based Model for Offline Handwritten Ethiopic Text Recognition

Information, 2023
Offline handwritten text recognition (HTR) is a long-standing research project for a wide range of applications, including assisting visually impaired users, humans and robot interactions, and the automatic entry of business documents.
Direselign Addis Tadesse, Chuan-Ming Liu, Van-Dai Ta   +2 more
doaj   +1 more source

Experimenting with Training a Neural Network in Transkribus to Recognise Text in a Multilingual and Multi-Authored Manuscript Collection

Heritage, 2023
This work aims at developing an optimal strategy to automatically transcribe a large quantity of uncategorised, digitised archival documents when resources include handwritten text by multiple authors and in several languages.
Carlotta Capurro, Vera Provatorova, Evangelos Kanoulas   +2 more
doaj   +1 more source

Text Recognition for Nepalese Manuscripts in Pracalit Script

Journal of Open Humanities Data, 2022
This dataset is a model for handwritten text recognition (HTR) of Sanskrit and Newar Nepalese manuscripts in Pracalit script. This paper introduces the state of the field in Newar literature, Newar manuscripts, and HTR engines.
Alexander James O’Neill, Nathan Hill
doaj   +1 more source