Results 41 to 50 of about 41,108,015 (283)
HANA: A handwritten name database for offline handwritten text recognition
Explorations in Economic History, 2022 Methods for linking individuals across historical data sets, typically in combination with AI based transcription models, are developing rapidly. Probably the single most important identifier for linking is personal names. However, personal names are prone to enumeration and transcription errors and although modern linking methods are designed to ...
Christian M. Dahl +3 more
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End-To-End Deep-Learning-Based Tamil Handwritten Document Recognition and Classification Model
IEEE Access, 2023 Overview: Handwriting recognition (HR) involves converting handwritten text into machine-readable text. Tamil handwritten document recognition remains a challenging process in various text real-world applications owing to the differences in the sizes ...
C. Vinotheni, S. Lakshmana Pandian
doaj +1 more source
PHTI: Pashto Handwritten Text Imagebase for Deep Learning Applications
IEEE Access, 2022 Document Image Analysis (DIA) is one of the research areas of Artificial Intelligence (AI) that converts document images into machine-readable codes. In DIA systems, Optical Character Recognition (OCR) plays a key role in digitizing document images.
Ibrar Hussain +5 more
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Boosting modern and historical handwritten text recognition with deformable convolutions [PDF]
International Journal on Document Analysis and Recognition, 2022 Handwritten Text Recognition (HTR) in free-layout pages is a challenging image understanding task that can provide a relevant boost to the digitization of handwritten documents and reuse of their content.
Silvia Cascianelli +3 more
semanticscholar +1 more source
End-to-End Historical Handwritten Ethiopic Text Recognition Using Deep Learning
IEEE Access, 2023 Recognizing handwritten text is a challenging task, especially for scripts with numerous alphabets and symbols. The Ethiopic script has a vast character set and is used for historical documents in typewritten, handwritten, and hand-printed forms. However,
Ruchika Malhotra, Maru Tesfaye Addis
doaj +1 more source
The LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text Recognition [PDF]
International Conference on Pattern Recognition, 2022 Handwritten Text Recognition (HTR) is an open problem at the intersection of Computer Vision and Natural Language Processing. The main challenges, when dealing with historical manuscripts, are due to the preservation of the paper support, the variability
Silvia Cascianelli +6 more
semanticscholar +1 more source
Handwritten Character Recognition to Obtain Editable Text [PDF]
E3S Web of Conferences, 2023 Optical character recognition involves distinguishing, grouping, and, in specific cases, remedying optical images/designs in a computerized picture.
Pravalika Jella +3 more
doaj +1 more source
IEEE Access, 2021 Offline handwritten Chinese text recognition is one of the most challenging tasks in that it involves various writing styles, complex character-touching, and large number of character categories.
Yintong Wang +3 more
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BN-HTRd: A Benchmark Dataset for Document Level Offline Bangla Handwritten Text Recognition (HTR) and Line Segmentation [PDF]
arXiv.org, 2022 We introduce a new dataset for offline Handwritten Text Recognition (HTR) from images of Bangla scripts comprising words, lines, and document-level annotations.
Md Ataur Rahman +11 more
semanticscholar +1 more source
A Scalable Handwritten Text Recognition System [PDF]
2019 International Conference on Document Analysis and Recognition (ICDAR), 2019 Many studies on (Offline) Handwritten Text Recognition (HTR) systems have focused on building state-of-the-art models for line recognition on small corpora. However, adding HTR capability to a large scale multilingual OCR system poses new challenges.
R. Reeve Ingle +4 more
openaire +2 more sources