Sökning: "Handwritten Text Recognition"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden Handwritten Text Recognition.

  1. 1. 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

  2. 2. 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

  3. 3. 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

  4. 4. 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

  5. 5. Occlusion method to obtain saliency maps for CNN

    Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik

    Författare :Thomas Eriksson; [2020]
    Nyckelord :Saliency map; explanatory model; process focussed XAI; MNIST; image classifying CNN.; Physics and Astronomy;

    Sammanfattning : This Bachelor project will study convolutional neural networks created for image classification. Furthermore, it will specifically use an explanatory model for how the network decided a certain classification output. This is to increase the interpretability of the network. LÄS MER