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This hands-on course introduces undergraduates to the fundamentals of Optical Character Recognition (OCR), with a focus on practical skills and independent application. Designed for students without prior experience. It encompasses the entire OCR workflow, beginning with Image Acquisition and Preprocessing, followed by Text Localization, Character Recognition, Post-Processing, and Output. 

Students will use the provided tools to convert scanned pages into searchable, editable text, exploring how automation and human input work together in text digitization

Instructors: Lauryn N. White, Digital Research Specialist, Textual Recovery, Digital Humanities Core 
Linda Garcia Merchant, Director, Digital Humanities Core, UH Libraries | HPE-DSI

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