Essays about: "Optical Character Recognition"
Showing result 16 - 20 of 50 essays containing the words Optical Character Recognition.
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16. DeepMACSS : Deep Modular Analyzer for Creating Semantics and generate code from Sketch
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Scientific areas such as artificial intelligence have exploded in popularity and more advanced techniques such as deep learning has been applied in various areas in order to automate tasks. As many software developers know creating prototypes can both be daunting and very time consuming. READ MORE
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17. Analogue meters in a digital world : Minimizing data size when offloading OCR processes
University essay fromAbstract : Introduction: Instead of replacing existing analogue water meters with Internet of Things (IoT) connected substitutes, an alternative would be to attach an IoT connected module to the analogue water meter that optically reads the meter value using Optical Character Recognition (OCR). Such a module would need to be battery-powered given that access to the electrical grid is typically limited near water meters. READ MORE
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18. Lost in Transcription : Evaluating Clustering and Few-Shot learningfor transcription of historical ciphers
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Where there has been a steady development of Optical Character Recognition (OCR) techniques for printed documents, the instruments that provide good quality for hand-written manuscripts by Hand-written Text Recognition methods (HTR) and transcriptions are still some steps behind. With the main focus on historical ciphers (i.e. READ MORE
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19. Improvement of Optical Character Recognition on Scanned Historical Documents Using Image Processing
University essay from Högskolan i Gävle/DatavetenskapAbstract : As an effort to improve accessibility to historical documents, digitization of historical archives has been an ongoing process at many institutions since the origination of Optical Character Recognition.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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20. Text Block Prediction and Article Reconstruction Using BERT
University essay from Uppsala universitet/Statistiska institutionenAbstract : Kungliga biblioteket (National Library of Sweden, KB) uses Optical Character Recognition (OCR) engines to extract and segment texts from their archive of daily newspaper articles. These systems are good at extracting and segmenting text on the paragraph level and lower (i.e. READ MORE