Essays about: "Character Segmentation"
Showing result 1 - 5 of 17 essays containing the words Character Segmentation.
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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. Number Recognition of Real-world Images in the Forest Industry : a study of segmentation and recognition of numbers on images of logs with color-stamped numbers
University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologiAbstract : Analytics such as machine learning are of big interest in many types of industries. Optical character recognition is essentially a solved problem, whereas number recognition on real-world images which can be one form of machine learning are a more challenging obstacle. READ MORE
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5. Handwritten Recognition for Ethiopic (Ge’ez) Ancient Manuscript Documents
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE