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Optical Character Recognition (OCR) for Telugu: Database, Algorithm and Application [PDF]
Telugu is a Dravidian language spoken by more than 80 million people worldwide. The optical character recognition (OCR) of the Telugu script has wide ranging applications including education, health-care, administration etc.
Chandra Prakash, Konkimalla +9 more
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Devnagari Character Recognition using Optical Character Recognition (OCR)
2023 International Conference on Computational Intelligence, Communication Technology and Networking (CICTN), 2023Ananya Shukla +3 more
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Approach for Preprocessing in Offline Optical Character Recognition (OCR)
2022 Interdisciplinary Research in Technology and Management (IRTM), 2022Marimuthu Karuppiah +2 more
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Suitability of Optical Character Recognition (OCR) for Multi-domain Model Management
2020The development of systems following model-driven engineering can include models from different domains. For example, to develop a mechatronic component one might need to combine expertise about mechanics, electronics, and software. Although these models belong to different domains, the changes in one model can affect other models causing ...
Weslley Torres +2 more
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OCR (Optical Character Recognition) Based Reading Aid
2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI), 2018There is need to convert paper books and documents into text. OCR is still imperfect as it occasionally mis-recognizes letters and falsely identifies scanned text, leading to misspellings and linguistics errors in the OCR output text. A multilingual voice creation toolkit that supports the user in building voices for the Open source MARY TTS platform ...
P Sona, G.Venifa Mini, K.S Angel Viji
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A Review of Optical Character Recognition (OCR) Techniques on Bengali Scripts
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, 2023Annajiat Alim Rasel +2 more
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Optical Character Recognition (OCR) Using Opencv and Python
Optical character recognition (OCR) stands as a transformative technology at the intersection of computer vision and document processing. This chapter explores the advancements and challenges in OCR, focusing on methods for extracting text content from images, scanned documents, and other visual media.A. V. Senthil Kumar +11 more
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Hybrid model for Chinese character recognition based on Tesseract-OCR
International Journal of Internet Protocol Technology, 2020Yi-Wei Ma
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