Essays about: "Textigenkänning"

Found 3 essays containing the word Textigenkänning.

  1. 1. 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

  3. 2. Detecting and comparing Kanban boards using Computer Vision

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

    Author : Humam Behnam; [2022]
    Keywords : Kanban Board; Sticky Notes; Computer Vison; OpenCV; Feature Detection; Feature Matching; Canny Edges; Contours; Perspective Transformation; Text Detection; Kanbantavla; Klisterlappar; Datorseende; OpenCV; Funktionsdetektering; Funktionsmatchning; Cannykanter; Konturer; Perspektivförvandling; Textigenkänning;

    Abstract : This thesis investigates the problem of detecting and tracking sticky notes on Kanban boards using classical computer vision techniques. Currently, there exists some alternatives for digitizing sticky notes, but none keep track of notes that have already been digitized, allowing for duplicate notes to be created when scanning multiple images of the same Kanban board. READ MORE

  4. 3. Text Recognition in Natural Images : A study in Text Detection

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

    Author : Jan Brifkany; Anass El Yasini; [2020]
    Keywords : ;

    Abstract : In recent years, a surge in computer vision methods and solutions has been developed to solve the computer vision problem. By combining different methods from different areas of computer vision, computer scientists have been able to develop more advanced and sophisticated models to solve these problems. READ MORE