Results 31 to 40 of about 29,591 (137)
From OCR and ECAR to energy: Perspectives on the design and interpretation of bioenergetics studies
Journal of Biological Chemistry, 2021 Biological energy transduction underlies all physiological phenomena in cells. The metabolic systems that support energy transduction have been of great interest due to their association with numerous pathologies including diabetes, cancer, rare genetic ...
Cameron A. Schmidt +2 more
semanticscholar +1 more source
Optical Recognition Assisted Transcription with Transkribus: The Experiment concerning Eugène Wilhelm's Personal Diary (1885-1951) Transcription assistée par reconnaissance optique avec Transkribus : L’expérience du journal intime d’Eugène Wilhelm (1885-1951) [PDF]
Journal of Data Mining and Digital Humanities, 2020 This article proposes use the Transkribus software to report on a "user experiment" in a French-speaking context. It is based on the semi-automated transcription project using the diary of the jurist Eugène Wilhelm (1866-1951).
Régis Schlagdenhauffen
doaj
International journal of information technology, 2023 In the modern era, the necessity of digitization is increasing in a rapid manner day-to-day. The healthcare industries are working towards operating in a paperless environment.
Pulkit Batra +5 more
semanticscholar +1 more source
International Journal for Research in Applied Science and Engineering Technology, 2022 Abstract: As we are familiar that there are many languages around the world, which many of us might even not be aware of but due to globalization and digitalization we have got to see and learn many languages. During those days of colonization, English became an integral part of many people’s language and still continues to be in dominance.
Kavita Pathak +3 more
openaire +1 more source
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
doaj +1 more source
An Efficient Unsupervised Approach for OCR Error Correction of Vietnamese OCR Text
IEEE Access, 2023 Different types of OCR errors often occur in OCR texts due to the low quality of scanned document images or limitations in OCR software. In this paper, we propose a novel unsupervised approach for OCR error correction.
Quoc-Dung Nguyen +3 more
semanticscholar +1 more source
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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OCR with Tesseract, Amazon Textract, and Google Document AI: a benchmarking experiment
Journal of Computational Social Science, 2021 Optical Character Recognition (OCR) can open up understudied historical documents to computational analysis, but the accuracy of OCR software varies. This article reports a benchmarking experiment comparing the performance of Tesseract, Amazon Textract ...
Thomas Hegghammer
semanticscholar +1 more source
An Illegal Dumping Detection System Based on Image Processing in OpenALPR
ASM Science Journal, 2021 Tipping or depositing large waste onto land using unauthorized and unlicensed methods are considered as illegal dumping. The increasing rate of illegal dumping becomes a crucial nation issue because this activity causes negative impacts to social ...
Wan Zakiah Wan Ismail
doaj +1 more source
Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage, 2019 Various research projects were concerned with the development and adaptation of methods for OCR specifically for historical printed documents (cf. METAe [20], IMPACT [1], eMOP [9]). However, these initiatives have ended before the wide adoption of deep neural networks and, despite the various project's achievements, there remains a lack of OCR software
Neudecker, Clemens +6 more
openaire +2 more sources