Essays about: "thesis on segmentation of character"
Showing result 1 - 5 of 11 essays containing the words thesis on segmentation of character.
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1. Swedish Language End-to-End Automatic Speech Recognition for Media Monitoring using Deep Learning
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : In order to extract relevant information from speech recordings, the general approach is to first convert the audio into transcribed text. The text can then be analysed using well researched methods. NewsMachine AB provides customers with an overview of how they are represented in media by analysing articles in text form. READ MORE
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2. News article segmentation using multimodal input : Using Mask R-CNN and sentence transformers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this century and the last, serious efforts have been made to digitize the content housed by libraries across the world. In order to open up these volumes to content-based information retrieval, independent elements such as headlines, body text, bylines, images and captions ideally need to be connected semantically as article-level units. READ MORE
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3. Text Block Prediction and Article Reconstruction Using BERT
University essay from Uppsala universitet/Statistiska institutionenAbstract : Kungliga biblioteket (National Library of Sweden, KB) uses Optical Character Recognition (OCR) engines to extract and segment texts from their archive of daily newspaper articles. These systems are good at extracting and segmenting text on the paragraph level and lower (i.e. READ MORE
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4. Handwritten digit recognition based on segmentation-free method
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : This thesis aims to implement a segmentation-free strategy in the context of handwritten multi-digit string recognition. Three models namely VGG-16, CRNN and 4C are built to be evaluated and benchmarked, also research about the effect of the different training set on model performance is carried out. .. READ MORE
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5. Semantic Segmentation of Historical Document Images Using Recurrent Neural Networks
University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknikAbstract : Background. This thesis focuses on the task of historical document semantic segmentation with recurrent neural networks. Document semantic segmentation involves the segmentation of a page into different meaningful regions and is an important prerequisite step of automated document analysis and digitisation with optical character recognition. READ MORE