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OCRchive: An alphanumerical detection and recognition framework for historical document image analysis
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
2025 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2025. , p. 84
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-27964OAI: oai:DiVA.org:bth-27964DiVA, id: diva2:1962641
Subject / course
Degree Project in Master of Science in Engineering 30,0 hp
Educational program
DVAMI Master of Science in Engineering: AI and Machine Learning 300 hp
Presentation
2025-05-23, J1360, Valhallavägen 10, Karlskrona, 14:00 (English)
Supervisors
Examiners
Note

Andra inlämningen pga ett par misstag i första inlämningen

Available from: 2025-06-11 Created: 2025-06-01 Last updated: 2025-09-30Bibliographically approved

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fulltext(16185 kB)262 downloads
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File name FULLTEXT02.pdfFile size 16185 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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CiteExportLink to record
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Citation style
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Language
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