Essays about: "Handwritten text recognition"

Showing result 1 - 5 of 16 essays containing the words Handwritten text recognition.

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

    University essay from Uppsala universitet/Avdelningen Vi3

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

    Abstract : To effortlessly digitise historical documents has risen to be of great interest for some time.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. READ MORE

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

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Hussain Kara Fallah; [2023]
    Keywords : ;

    Abstract : 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. READ MORE

  4. 3. Handwritten Text Recognition Using a Vision Transformer

    University essay from Uppsala universitet/Institutionen för informationsteknologi

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

    Abstract : 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. READ MORE

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

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

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

    Abstract : 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. READ MORE

  6. 5. 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