Avancerad sökning

Hittade 2 uppsatser som matchar ovanstående sökkriterier.

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

3. 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