Essays about: "Image processing on document images"
Showing result 1 - 5 of 11 essays containing the words Image processing on document images.
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1. A Comparison of Advanced DeepLearning Algorithms for Multi-digit Detection in Historical Documents
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Historical handwritten documents are assets for future generations and should be appropriately secured, so handwritten digit detection plays an important role to preserve them. Handwritten digit detection is a fundamental problem and has been studied extensively for many years. READ MORE
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2. Tree positional encodings for transformer models on HTML DOM tree element classification : Enabling structurally aware transformer models through positional encodings to improve performance on an HTML element classification problem
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the continued proliferation of access and the usage of the internet, the field of web learning is continuously growing in order to automate and improve parts of our experience on the web. Research in web learning has often lagged behind its counterparts in Natural Language Processing (NLP), novel methods often reach adoption in web learning research with a delay. READ MORE
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3. Automatic Handwritten Text Detection and Classification
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : 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. READ MORE
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4. Handwritten Document Binarization Using Deep Convolutional Features with Support Vector Machine Classifier
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Since historical handwritten documents have played important roles in promoting the development of human civilization, many of them have been preserved through digital versions for more scientific researches. However, various degradations always exist in these documents, which could interfere in normal reading. 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
