Essays about: "optisk teckenigenkänning"

Showing result 1 - 5 of 8 essays containing the words optisk teckenigenkänning.

  1. 1. 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)

    Author : Linnéa Fredriksson; [2023]
    Keywords : Key-field extraction; Invoices; 2D NLP; Document Intelligence; Visually Rich Documents; LayoutLMv3; Nyckelfältsextraktion; Fakturor; 2-dimensionell naturligtspråkbehandling; LayoutLMv3;

    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

  3. 2. Automated Image Pre-Processing for Optimized Text Extraction Using Reinforcement Learning and Genetic Algorithms

    University essay from

    Author : Rahmat Rohoullah; Månsson Joakim; [2023]
    Keywords : BRISK; YOLO; Reinforcement learning; Evolutionary algorithm; OCR; Image pre-processing; Computer vision; BRISK; YOLO; Förstärkningslärning; Evolutionär algorithm; OCR; Bildförbehandling; Datorseende;

    Abstract : 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

  4. 3. Post-processing of optical character recognition for Swedish addresses

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Moa Andersson; [2022]
    Keywords : OCR; OCR post-processing; OCR post-correction; NMT; Lexical model; OCR; efterbehandling för OCR; post-korrigering för OCR; NMT; lexikal modell;

    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: ​​Optical character recognition (Optical Character Recognition (OCR)) has many applications, such as digitizing historical documents, automating processes, and helping visually impaired people read.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

  5. 4. On dysgraphia diagnosis support via the automation of the BVSCO test scoring : Leveraging deep learning techniques to support medical diagnosis of dysgraphia

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Riccardo Sommaruga; [2022]
    Keywords : Dysgraphia; Handwritten Text Recognition; Graphemes; Optical Character Recognition; Artificial Neural Networks; BVSCO-2; Sequence Alignment; Dysgrafi; handskriven textigenkänning; grafem; optisk teckenigenkänning; artificiella neurala nätverk; BVSCO-2; sekvensjustering;

    Abstract : Dysgraphia is a rather widespread learning disorder in the current society. It is well established that an early diagnosis of this writing disorder can lead to improvement in writing skills. READ MORE

  6. 5. Computer Vision for Document Image Analysis and Text Extraction

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Omar Benchekroun; [2022]
    Keywords : Optical Character Recognition; Document Analysis; Text Extraction; Transformers; Convolutional Neural Networks; Optisk teckenigenkänning; dokumentanalys; textutvinning; transformatorer; konvolutionella neurala nätverk;

    Abstract : Automatic document processing has been a subject of interest in the industry for the past few years, especially with the recent technological advances in Machine Learning and Computer Vision. This project investigates in-depth a major component used in Document Image Processing known as Optical Character Recognition (OCR). READ MORE