Essays about: "Optisk teckenläsning"

Found 3 essays containing the words Optisk teckenläsning.

  1. 1. Exploring Machine Learning Solutions in the Context of OCR Post-Processing of Invoices

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

    Author : Jacob Dwyer; Sara Bertse; [2022]
    Keywords : Machine learning; Optical character recognition; BERT; Error detection; Invoice; Maskininläsning; Optisk teckenläsning; BERT; Feldetektering; Faktura;

    Abstract : Large corporations receive and send large volumes of invoices containing various fields detailing a transaction. Such fields include VAT, due date, total amount, etc. One common way to automatize invoice processing is optical character recognition (OCR). This technology entails automatic reading of characters from scanned images. READ MORE

  3. 2. Form data enriching using a post OCR clustering process : Measuring accuracy of field names and field values clustering

    University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Author : Adil Aboulkacim; [2022]
    Keywords : Optical Character Recognition; Form Processing; Data enrichment; Optisk teckenläsning; Formulärbearbetning; Databerikning;

    Abstract : Med OCR teknologier kan innehållet av ett formulär läsas in, positionen av varje ord och dess innehåll kan extraheras, dock kan relationen mellan orden ej förstås. Denna rapport siktar på att lösa problemet med att berika data från ett strukturerat formulär utan någon förinställd konfiguration genom användandet utav klustring. READ MORE

  4. 3. Semantic Segmentation of Historical Document Images Using Recurrent Neural Networks

    University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Author : Jakob Ahrneteg; Dean Kulenovic; [2019]
    Keywords : semantic segmentation; page segmentation; recurrent neural network; layout analysis; semantisk segmentering; dokument segmentering; recurrent neural network; layout analys;

    Abstract : Background. This thesis focuses on the task of historical document semantic segmentation with recurrent neural networks. Document semantic segmentation involves the segmentation of a page into different meaningful regions and is an important prerequisite step of automated document analysis and digitisation with optical character recognition. READ MORE