Sökning: "Optical Character Recognition OCR"

Visar resultat 1 - 5 av 40 uppsatser innehållade orden Optical Character Recognition OCR.

  1. 1. Real time Optical  Character Recognition  in  steel  bars  using YOLOV5

    Master-uppsats, Blekinge Tekniska Högskola

    Författare :Monica Gattupalli; [2023]
    Nyckelord :Deep learning; Object detection; Tesseract OCR; YOLOV5; YOLOV5- obb;

    Sammanfattning : 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. LÄS MER

  3. 2. Prisestimering på bostadsrätter : Implementering av OCR-metoder och Random Forest regression för datadriven värdering

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Sofia Lövgren; Marcus Löthman; [2023]
    Nyckelord :OCR; Optical Character recognition; Random Forest regression; price estimation; housing cooperatives; machine learning; OCR; Optisk teckenigenkänning; Random Forest regression; Prisestimering; Bostadsrätter; Maskininlärning;

    Sammanfattning : This thesis explores the implementation of Optical Character Recognition (OCR) – based text extraction and random forest regression analysis for housing market valuation, specifically focusing on the impact of value factors, derived from OCR-extracted economic values from housing cooperatives’ annual reports. The objective is to perform price estimations using the Random Forest model to identify the key value factors that influence the estimation process and examine how the economic values from annual reports affect the sales price. LÄS MER

  4. 3. Classification of invoices using a 2D NLP approach : A comparison between methods for invoice information extraction for the purpose of classification

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Sammanfattning : 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. LÄS MER

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

    Kandidat-uppsats,

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

    Sammanfattning : 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. LÄS MER

  7. 5. Retrofitting analogue meters with smart devices : A feasibility study of local OCR processes on an energy critical driven system

    Kandidat-uppsats,

    Författare :Joel Andreasson; Elin Ehrenbåge; [2023]
    Nyckelord :Analogue meters; Energy efficiency; Internet of Things IoT ; Optical Character Recognition OCR ; Sum of Absolute Differences SAD ; Template matching;

    Sammanfattning : 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. LÄS MER