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| Ultima descărcare din IBN: 2023-06-26 16:36 |
 SM ISO690:2012HRISTEA, Ionut-Alexandru, IFTENE, Adrian. OCR: Handwrite Recognition. In: Workshop on Intelligent Information Systems, Ed. 2022, 6-8 octombrie 2022, Chisinau. Chişinău: Valnex, 2022, pp. 135-144. ISBN 978-9975-68-461-3. |
| EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
| Workshop on Intelligent Information Systems 2022 | ||||||
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Conferința "Workshop on Intelligent Information Systems" 2022, Chisinau, Moldova, 6-8 octombrie 2022 | ||||||
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Computer Vision aids the computer in comprehending what occurs in a visual representation of the real world, such as videos or photographs. A subfield of Computer Vision is Optical Character Recognition, which works with handwritten or printed material that is converted into machine-readable language. All of the world’s paper-based documents could be translated into a more convenient format for storage without having to rewrite them. The purpose of this paper is to develop an algorithm that can convert a picture of handwritten text on paper into a machinereadable format, making it easier for individuals to keep papers. |
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| Cuvinte-cheie computer vision, OCR, Convolutional Network. |
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Dublin Core Export
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc='http://purl.org/dc/elements/1.1/' xmlns:oai_dc='http://www.openarchives.org/OAI/2.0/oai_dc/' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xsi:schemaLocation='http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd'> <dc:creator>Hristea, I.</dc:creator> <dc:creator>Iftene, A.</dc:creator> <dc:date>2022</dc:date> <dc:description xml:lang='en'><p>Computer Vision aids the computer in comprehending what occurs in a visual representation of the real world, such as videos or photographs. A subfield of Computer Vision is Optical Character Recognition, which works with handwritten or printed material that is converted into machine-readable language. All of the world’s paper-based documents could be translated into a more convenient format for storage without having to rewrite them. The purpose of this paper is to develop an algorithm that can convert a picture of handwritten text on paper into a machinereadable format, making it easier for individuals to keep papers.</p></dc:description> <dc:source>Workshop on Intelligent Information Systems () 135-144</dc:source> <dc:subject>computer vision</dc:subject> <dc:subject>OCR</dc:subject> <dc:subject>Convolutional Network.</dc:subject> <dc:title>OCR: Handwrite Recognition</dc:title> <dc:type>info:eu-repo/semantics/article</dc:type> </oai_dc:dc>
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