Essays about: "Handwritten Recognition"
Showing result 1 - 5 of 36 essays containing the words Handwritten Recognition.
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1. Semi-automatic Segmentation & Alignment of Handwritten Historical Text Images with the use of Bayesian Optimisation
University essay from Uppsala universitet/Avdelningen Vi3Abstract : To effortlessly digitise historical documents has risen to be of great interest for some time. Part of the digitisation is what is called annotating of the data. Such data annotations are obtained in a process called alignment which links words in an image to the transcript. READ MORE
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2. A Comparison of Advanced DeepLearning Algorithms for Multi-digit Detection in Historical Documents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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3. Building a Deep Neural Network From Scratch
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine learning is becoming increasingly common in our society and is predictedto have a major impact in the future. Therefore, it would be both interesting and valuable tohave a deep understanding of one of the most used algorithms in machine learning, deepneural network. READ MORE
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4. Recognition of Handwritten Swedish Sentences With Deep Learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : This study attempts the task of handwritten text recognition within the context of the Swedish language. It examines the applicability of deep neural networks to comprehend handwritten Swedish texts, specifically leveraging the Labors Memory Dataset. READ MORE
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5. Handwritten Text Recognition Using a Vision Transformer
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The aim of this project is to create a method for offline handwritten text recognition using a vision transformer. It consists of two parts, where the first one segments all words in a document into separate images and the second one which recognizes the word on each image. READ MORE