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Training-Free and Segmentation-Free Word Spotting using Feature Matching and Query Expansion
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.ORCID iD: 0000-0003-4480-3158
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.ORCID iD: 0000-0003-1054-2754
2019 (English)In: Proc. 15th International Conference on Document Analysis and Recognition, 2019Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
2019.
National Category
Computer Sciences
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-389453OAI: oai:DiVA.org:uu-389453DiVA, id: diva2:1337388
Conference
ICDAR 2019, September 20–25, Sydney, Australia
Available from: 2019-07-14 Created: 2019-07-14 Last updated: 2019-07-22

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Vats, EktaHast, Anders

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