Results 21 to 30 of about 35,820 (263)
The Page-Building a Pennsylvania German Thesaurus through the Correction of OCR Errors
Iperstoria, 2018 The aim of our project is to build an online Thesaurus of Pennsylvania German. This North American minority language has been in contact with American English ever since its emergence around 1800 and is still lacking a received standard, producing thus ...
Camilla Balsamo, Barbara Hans-Bianchi
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Adapting the Tesseract open source OCR engine for multilingual OCR [PDF]
Proceedings of the International Workshop on Multilingual OCR, 2009 We describe efforts to adapt the Tesseract open source OCR engine for multiple scripts and languages. Effort has been concentrated on enabling generic multi-lingual operation such that negligible customization is required for a new language beyond providing a corpus of text.
Raymond Smith +2 more
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OCR with Adaptive Dictionary [PDF]
, 2015 It has been proven by previous works that OCR is beneficial from reducing dictionary size. In this paper, a framework is proposed for improving OCR performance with the adaptive dictionary, in which text categorization is utilized to construct dictionaries using web data and identify the category of the imaged documents.
Chenyang Wang +3 more
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Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit
CoRR, 2018 This paper has been accepted as a full paper in the SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2018.
Amrith Krishna +3 more
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OCR-IDL: OCR Annotations for Industry Document Library Dataset
, 2023 Pretraining has proven successful in Document Intelligence tasks where deluge of documents are used to pretrain the models only later to be finetuned on downstream tasks. One of the problems of the pretraining approaches is the inconsistent usage of pretraining data with different OCR engines leading to incomparable results between models.
Ali Furkan Biten +4 more
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Recognition of Machine-Readable Zone in Identity Documents: A Review
IEEE AccessEncoding personal identity document information into machine-readable formats is one of the most important approaches to automatic data processing. The Machine-Readable Zone (MRZ) of a document contains text data in the form of 2 or 3 long text lines of ...
Alexander V. Gayer +2 more
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IIR-BinNet: An Ultra-Lightweight Neural Network for Document Image Binarization Using IIR Filters
IEEE AccessDocument image binarization task requires neural networks that can effectively analyze large image areas to separate text from complex backgrounds. The traditional approach of expanding the receptive field by increasing the depth of the network results ...
Daria Ershova +2 more
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International Journal of Hyperthermia, 2022 Aim: In oncology, thermal therapy is the application of external heat to fight cancer cells. The goal of whole-body thermal treatment (WBTT) is to raise the patient’s core temperature to 39–42 °C, and represents the only thermal treatment modality that ...
B. Wylleman +11 more
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Iperstoria, 2018 Editors' preface to the monographic section of Iperstoria 13, titled "Digital Humanities: a cross-disciplinary approach to literature, language and education."
Sonia di Loreto, Annarita Taronna
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Automatic Transcription of Organ Tablature Music Notation with Deep Neural Networks
Transactions of the International Society for Music Information Retrieval, 2021 Organ tablature music notation differs considerably in structure and form from the music notation used today. The manual transcription of organ tablature compositions to modern music notation is time-consuming and often prone to errors. In this paper, we
Daniel Schneider +4 more
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