Sökning: "document image processing"

Visar resultat 1 - 5 av 13 avhandlingar innehållade orden document image processing.

  1. 1. Document Image Processing for Handwritten Text Recognition : Deep Learning-based Transliteration of Astrid Lindgren’s Stenographic Manuscripts

    Författare :Raphaela Heil; Anders Hast; Ekta Vats; Fredrik Wahlberg; Andreas Fischer; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; document image processing; handwritten text recognition; stenography; strikethrough; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : Document image processing and handwritten text recognition have been applied to a variety of materials, scripts, and languages, both modern and historic. They are crucial building blocks in the on-going digitisation efforts of archives, where they aid in preserving archival materials and foster knowledge sharing. LÄS MER

  3. 2. Learning based segmentation and generation methods for handwritten document images

    Författare :Kalyan Ram Ayyalasomayajula; Anders Brun; Filip Malmberg; Nicholas Howe; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine learning; handwriting; handwritten document anlysis; deep learning; image processing; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : Computerized analysis of handwritten documents is an active research area in image analysis and computer vision. The goal is to create tools that can be available for use at university libraries and for researchers in the humanities. LÄS MER

  4. 3. Interpreting the Script : Image Analysis and Machine Learning for Quantitative Studies of Pre-modern Manuscripts

    Författare :Fredrik Wahlberg; Anders Brun; Lasse Mårtensson; Ewert Bengtsson; Apostolos Antonacopoulos; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; document analysis; machine learning; image analysis; digital humanities; document dating; writer identification; text recognition; Datavetenskap; Computer Science;

    Sammanfattning : The humanities have for a long time been a collection of fields that have not gained from the advancements in computational power, as predicted by Moore´s law.  Fields like medicine, biology, physics, chemistry, geology and economics have all developed quantitative tools that take advantage of the exponential increase of processing power over time. LÄS MER

  5. 4. Learning based Word Search and Visualisation for Historical Manuscript Images

    Författare :Tomas Wilkinson; Anders Brun; Josep Lladós; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Word Spotting; Convolutional Neural Networks; Deep Learning; Region Proposals; Historical Manuscripts; Computer Vision; Image Analysis; Visualisation; Document Analysis; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : Today, work with historical manuscripts is nearly exclusively done manually, by researchers in the humanities as well as laypeople mapping out their personal genealogy. This is a highly time consuming endeavour as it is not uncommon to spend months with the same volume of a few hundred pages. LÄS MER

  7. 5. Deep learning for news topic identification in limited supervision and unsupervised settings

    Författare :Arezoo Hatefi; Frank Drewes; Johanna Björklund; Xuan-Son Vu; Eric Gaussier; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Topic Identification; Data Clustering; News Stream Clustering; Semi-Supervised Learning; Unsupervised Learning; Event Topics; News Stories; Multimodal News; Document Classification; Document Clustering; Deep Learning; Deep Clustering; Pre-trained Language Models;

    Sammanfattning : In today's world, following news is crucial for decision-making and staying informed. With the growing volume of daily news, automated processing is essential for timely insights and in aiding individuals and corporations in navigating the complexities of the information society. LÄS MER