Essays about: "Tesseract OCR"
Showing result 1 - 5 of 13 essays containing the words Tesseract OCR.
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1. Real time Optical Character Recognition in steel bars using YOLOV5
University essay from Blekinge Tekniska HögskolaAbstract : Background.Identifying the quality of the products in the manufacturing industry is a challenging task. Manufacturers use needles to print unique numbers on the products to differentiate between good and bad quality products. However, identi- fying these needle printed characters can be difficult. READ MORE
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2. Automatic compilation and summarization of documented Russian equipment losses in Ukraine : A method development
University essay from FörsvarshögskolanAbstract : Since the Russian invasion of Ukraine on the 24th of February 2022 – most of the United Nations have, in one way or another, participated in the most significant war of many decades. The war is characterized by Russia’s atrocious war crimes, illegal annexations, terror, propaganda, and complete disrespect for international law. READ MORE
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3. Benchmarking Object Detection Algorithms for Optical Character Recognition of Odometer Mileage
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Machine learning algorithms have had breakthroughs in many areas in the last decades. The hardest task, to solve with machine learning, was solving tasks that humans solve intuitively, e.g. understanding natural language or recognizing specific objects in images. READ MORE
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4. Improvement of Optical Character Recognition on Scanned Historical Documents Using Image Processing
University essay from Högskolan i Gävle/DatavetenskapAbstract : As an effort to improve accessibility to historical documents, digitization of historical archives has been an ongoing process at many institutions since the origination of Optical Character Recognition. The old, scanned documents can contain deteriorations acquired over time or caused by old printing methods. READ MORE
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5. Evaluating Methods for Optical Character Recognition on a Mobile Platform : comparing standard computer vision techniques with deep learning in the context of scanning prescription medicine labels
University essay from Högskolan Kristianstad/Fakulteten för naturvetenskapAbstract : Deep learning has become ubiquitous as part of Optical Character Recognition (OCR), but there are few examples of research into whether the two technologies are feasible for deployment on a mobile platform. This study examines which particular method of OCR would be best suited for a mobile platform in the specific context of a prescription medication label scanner. READ MORE