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Visar resultat 1 - 5 av 18 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Semi-automatic Segmentation & Alignment of Handwritten Historical Text Images with the use of Bayesian Optimisation

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3

    Författare :Philip MacCormack; [2023]
    Nyckelord :handwritten text recognition; machine learning; bayesian optimisation; image analysis; segmentation; alignment;

    Sammanfattning : To effortlessly digitise historical documents has risen to be of great interest for some time. Part of the digitisation is what is called annotating of the data. Such data annotations are obtained in a process called alignment which links words in an image to the transcript. LÄS MER

  3. 2. HTR in the making : En studie av hur Handwritten Text Recognition görs vid tre svenska arkivverksamheter

    Master-uppsats, Lunds universitet/Avdelningen för ABM, digitala kulturer samt förlags- och bokmarknadskunskap

    Författare :Camilla Schön; [2023]
    Nyckelord :Archival science; Handwritten Text Recognition; Actor-Network Theory; artificial intelligence; The Swedish National Archives; Swedish National Heritage Board; Uppsala University Library; Cultural Sciences;

    Sammanfattning : In the current archival science paradigm, archives implement AI-technologies to provide content as structured, machine-readable data. One of these technologies is Handwritten Text recognition (HTR) which can transcribe handwritten text. Thus, HTR turn raw digitized archival documents into machine-readable format. LÄS MER

  4. 3. Recognition of Handwritten Swedish Sentences With Deep Learning

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Hussain Kara Fallah; [2023]
    Nyckelord :;

    Sammanfattning : This study attempts the task of handwritten text recognition within the context of the Swedish language. It examines the applicability of deep neural networks to comprehend handwritten Swedish texts, specifically leveraging the Labors Memory Dataset. LÄS MER

  5. 4. Handwritten Text Recognition Using a Vision Transformer

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Jonathan Kurén; Martin Sundberg; [2023]
    Nyckelord :Handwritten text recognition; Vision transformer; machine learning; image analysis; neural network;

    Sammanfattning : The aim of this project is to create a method for offline handwritten text recognition using a vision transformer. It consists of two parts, where the first one segments all words in a document into separate images and the second one which recognizes the word on each image. LÄS MER

  7. 5. CArDIS: A Swedish Historical Handwritten Character and Word Dataset for OCR

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Shivani Thummanapally; Sakib Rijwan; [2022]
    Nyckelord :Handwritten Text Recognition; Optical Character Recognition; Machine learning methods; historical handwritten character recognition; handwritten character dataset;

    Sammanfattning : Background: To preserve valuable sources and cultural heritage, digitization of handwritten characters is crucial. For this, Optical Character Recognition (OCR) systems were introduced and most widely used to recognize digital characters. LÄS MER