Sökning: "Handwritten Text Recognition"

Visar resultat 6 - 10 av 18 uppsatser innehållade orden Handwritten Text Recognition.

  1. 6. On dysgraphia diagnosis support via the automation of the BVSCO test scoring : Leveraging deep learning techniques to support medical diagnosis of dysgraphia

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

    Författare :Riccardo Sommaruga; [2022]
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  3. 7. Computer Vision for Document Image Analysis and Text Extraction

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

    Författare :Omar Benchekroun; [2022]
    Nyckelord :Optical Character Recognition; Document Analysis; Text Extraction; Transformers; Convolutional Neural Networks; Optisk teckenigenkänning; dokumentanalys; textutvinning; transformatorer; konvolutionella neurala nätverk;

    Sammanfattning : Automatic document processing has been a subject of interest in the industry for the past few years, especially with the recent technological advances in Machine Learning and Computer Vision. This project investigates in-depth a major component used in Document Image Processing known as Optical Character Recognition (OCR). LÄS MER

  4. 8. Lost in Transcription : Evaluating Clustering and Few-Shot learningfor transcription of historical ciphers

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Giacomo Magnifico; [2021]
    Nyckelord :Image Recognition; Handwritten Text Recognition; HTR; Deep-learning; K-mean clustering; NN; Neural Network; Few-Shot;

    Sammanfattning : Where there has been a steady development of Optical Character Recognition (OCR) techniques for printed documents, the instruments that provide good quality for hand-written manuscripts by Hand-written Text Recognition  methods (HTR) and transcriptions are still some steps behind. With the main focus on historical ciphers (i.e. LÄS MER

  5. 9. Automatic Handwritten Text Detection and Classification

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för visuell information och interaktion

    Författare :Olle Dahlstedt; [2021]
    Nyckelord :;

    Sammanfattning : As more and more organizations digitize their records, the need for automatic document processing software increases. In particular, the rise of ‘digital humanities’ precede a new set of problems on how to digitize historical archival material in an efficient and accurate manner. LÄS MER

  7. 10. Handwritten Recognition for Ethiopic (Ge’ez) Ancient Manuscript Documents

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

    Författare :Adisu Wagaw Terefe; [2020]
    Nyckelord :CNN; CTC; Ge’ez; Handwritten Recognition; LSTM; MDRNN; CNN; CTC; Ge’ez; Handskrivet erkännande; LSTM; MDRNN;

    Sammanfattning : The handwritten recognition system is a process of learning a pattern from a given image of text. The recognition process usually combines a computer vision task with sequence learning techniques. LÄS MER