Essays about: "Optical Character Recognition OCR"
Showing result 1 - 5 of 37 essays containing the words Optical Character Recognition 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. Classification of invoices using a 2D NLP approach : A comparison between methods for invoice information extraction for the purpose of classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Many companies are handling a large number of invoices every year. To manually categorize them takes a lot of time and resources. For a model to automatically categorize invoices, the documents need to be properly read and processed by the model. READ MORE
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3. Automated Image Pre-Processing for Optimized Text Extraction Using Reinforcement Learning and Genetic Algorithms
University essay fromAbstract : This project aims to develop an automated image pre-processing chain to extract valuable information from appliance labels before recycling. The primary goal is to improve optical character recognition accuracy by addressing noise issues using reinforcement learning and an evolutionary algorithm. READ MORE
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4. Retrofitting analogue meters with smart devices : A feasibility study of local OCR processes on an energy critical driven system
University essay fromAbstract : Internet of Things (IoT) are becoming increasingly popular replacements for their analogue counterparts. However, there is still demand to keep analogue equipment that is already installed, while also having automated monitoring of the equipment, such as analogue water meters. READ MORE
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5. Post-processing of optical character recognition for Swedish addresses
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Optical character recognition (Optical Character Recognition (OCR)) has many applications, such as digitizing historical documents, automating processes, and helping visually impaired people read. However, extracting text from images into a digital format is not an easy problem to solve, and the outputs from the OCR frameworks often include errors. READ MORE