Results 21 to 30 of about 393 (182)

Generation of Images with Handwritten Text in Russian

Proceedings of the Institute for System Programming of the RAS, 2023
Automatic handwriting recognition is an important component in the process of electronic documents analysis, but its solution is still far from ideal. One of the main reasons for the complexity of Russian handwriting recognition is the insufficient amount of data used to train recognition models.
Anastasia O. Bogatenkova, Oxana V. Belyaeva, Andrew I. Perminov   +2 more
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Recognizing Handwritten Texts

, 2023
Having text in digital format is more convenient than having it written down on paper. Digital text is immune to degradation, and provides means for automating several operations. In this paper, we present a way to convert handwritten text into digital text. A deep learning approach is used for recognition.
Devesh Ramesh, Gaurav Y. Tawde, Aayushi Mishra, Anushka Kulkarni, Sudipa Majumdar   +4 more
openaire   +1 more source

An Approach to Recognizing and Digitizing Old Handwritten Documents with Mathematical Heterogeneous Content in Cyrillic script [PDF]

Computer Science Journal of Moldova
This paper describes the steps through which the authors passed during the process of digitization of manually written mathematical texts with formulas and figures. Some difficulties met are also discussed.
Olesea Caftanatov, Valentina Demidova, Tatiana Verlan   +2 more
doaj   +1 more source

Semantic modeling of textual entities

Umanistica Digitale, 2022
This paper presents CRMtex, an ontological model based on CIDOC CRM developed since 2015 to support the study of ancient documents. The model is intended to identify relevant textual entities and to model the scientific process related to the ...
Achille Felicetti, Francesca Murano
doaj   +1 more source

Läti rahvalaulud Johann Gottfried Herderi kogus [PDF]

Mäetagused, 2016
The handwritten Latvian folk songs in Johann Gottfried Herder’s manuscripts collection at the Prussian Cultural Heritage Manuscript Department of the Berlin State Library (also known as “Livonian collection”, as titled by Leonid Arbusow) are a testimony ...
Beata Paškevica
doaj   +1 more source

Handwritten Text Recognition for Bengali [PDF]

2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), 2016
This work has been partially supported through the European Union’s H2020 grant READ (Recognition and Enrichment of Archival Documents) (Ref: 674943) and partially supported by MINECO/FEDER, UE under project TIN2015-70924-C2-1-R.
Sanchez, Joan Andreu, Pal, Umapada
openaire   +3 more sources

Towards the Corpus of Latvian Romani Texts

Digital Humanities in the Nordic and Baltic Countries Publications, 2022
Latvian Romani is a Northeastern Romani dialect with a limited number of publicly available sources. Two large archival collections of texts in Latvian Romani, compiled primarily in the 1930s in Latvia and Estonia, have been recently digitized as ...
Natalia Perkova, Kirill Kozhanov
doaj   +1 more source

Handwritten Text Recognition

International Journal of Advanced Research in Science, Communication and Technology
Handwritten text detection refers to the capacity of a computer system to interpret and understand handwritten input from various sources such as paper documents, touch displays, and photographs. Within the realm of pattern recognition, one specific area is handwritten text recognition, which involves categorizing and interpreting handwritten text.
null Tanishq Rampure, null Harsh Damahe, null Kundan Bharati, null Darshil Raj, null Namrata Naikwade   +4 more
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Handwritten text recognition using deep learning techniques: A survey [PDF]

MATEC Web of Conferences
HTR (Handwritten Text Recognition) is the automated process of converting handwritten text into digital text, holding immense value in digitizing historical records and facilitating data entry.
Rakesh S., Kushal Reddy P., Prashanth V., Srinath Reddy K.   +3 more
doaj   +1 more source

On-the-fly Historical Handwritten Text Annotation [PDF]

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), 2017
The performance of information retrieval algorithms depends upon the availability of ground truth labels annotated by experts. This is an important prerequisite, and difficulties arise when the annotated ground truth labels are incorrect or incomplete due to high levels of degradation.
Ekta Vats, Anders Hast
openaire   +3 more sources