Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 19 of 19 for “"Text recognition"”.
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Automated text recognition
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1993.
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Maltese text recognition tool for those with disability to access text
… people with disability to access printed Maltese text require the assistance of another human reading aloud to them. This is not the case for text in English, since commercial text readers are available to carry out the same task. This, therefore, creates a disadvantage for those pursuing the …
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Arabic text recognition of printed manuscripts. Efficient recognition of off-line printed Arabic text using Hidden Markov Models, Bigram Statistical Language Model, and post-processing.
Arabic text recognition was not researched as thoroughly as other natural languages. The need for automatic Arabic text recognition is clear. In addition to the traditional applications like postal address reading, check verification in banks, and office automation, there is a large interest in …
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Arabic text recognition of printed manuscripts. Efficient recognition of off-line printed Arabic text using Hidden Markov Models, Bigram Statistical Language Model, and post-processing.
Arabic text recognition was not researched as thoroughly as other natural languages. The need for automatic Arabic text recognition is clear. In addition to the traditional applications like postal address reading, check verification in banks, and office automation, there is a large interest in …
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MULTILINGUAL TEXT READING IN NATURAL SCENE IMAGES
Reading the texts will greatly help to better understand the image contents. In this thesis, we address the text reading problem by solving each of the sequential components, namely, text detection, text segmentation and text recognition. The first problem for text reading is to locate the text …
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Interpretation of box-and-point diagrams in classroom learning partner
… was designed to use state of the art sketch recognition tools to recognize shapes, and state of the art text recognition tools to recognize text. The results of each are then combined to interpret the meaning of the diagram.
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Text Extraction From Natural Scene: Methodology And Application
… Most of these applications can benefit from text information extraction in natural scene. However, scene text extraction is a challenging problem to be solved, due to cluttered background of natural scene and multiple patterns of scene text itself. To solve these problems, this dissertation …
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Design and implementation of a portable omnifont reading aid for the blind
… or even blind users to manually scan and read text is discussed in this dissertation. A thorough investigation of all the elements involved in such a system is presented and optimal solutions are proposed. A unique velocity compensation technique based solely on optical information obtained by …
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News from Venice: a digital analysis of Cosimo Bartoli’s correspondence and newsletters (1562–1572)
… are automatically transcribed using Handwritten Text Recognition and Transkribus, while the automatic transcriptions are corrected by volunteers as part of a crowdsourcing project. The outcome is a semi-automated digital edition published online and available to everyone. Using the transcriptions …
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Lietuvių kalbos teksto atpažinimas /
… layers. Two models of handwritten Lithuanian text recognition are analyzed: convolutional recurrent neural network and ResNet-50. Convolutional recurrent neural network model is adapted to recognize Lithuanian words with the help of a dictionary, and the ResNet-50 model is compared with the …
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Effects of Training on Intent, Ease, Self-Efficacy, Frequency, and Usefulness in Multimedia-Based Feedback for University-Level Instructors Using Canvas® LMS
… of use of audio-, video-, and speech-to-text-recognition-based technologies associated with the feedback and assessment process in college-level teaching. Except for usefulness, each dependent variable was divided into two based on whether the item was multimedia or not: (a) use of …
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Word based off-line handwritten Arabic classification and recognition. Design of automatic recognition system for large vocabulary offline handwritten Arabic words using machine learning approaches.
… of features computed from whole words for the recognition of handwritten words in particular. Arabic text classification and recognition is a complicated process compared to Latin and Chinese text recognition systems. This is due to the nature cursiveness of Arabic text. The work presented in …
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Automated assessment of non-objective textual submissions.
… of automated marking of non-objective textual submissions. In so doing he tasked himself to discover how far automated assessment of text could be applied in the range of submissions from the single word to a multi-sentence, multi-paragraph piece of text. In the course of his research, …
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Extracting generic text information from images
As a vast amount of text appears everywhere, including natural scene, web pages and videos, text becomes very important information for different applications. Extracting text information from images and video frames is the first step of applying them to a specific application and this task is …
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Neuromorphic Systems for Pattern Recognition and Uav Trajectory Planning
… with a focus on the applications of handwritten text recognition and UAV flight control. Recognizing handwritten texts is a challenging task due to many different writing styles and lack of clear boundary between adjacent characters. The difficulty is greatly increased if the detection algorithms …
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Neuromorphic Systems For Pattern Recognition And Uav Trajectory Planning
… with a focus on the applications of handwritten text recognition and UAV flight control. Recognizing handwritten texts is a challenging task due to many different writing styles and lack of clear boundary between adjacent characters. The difficulty is greatly increased if the detection algorithms …
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Efficient machine learning: models and accelerations
… exploration of the cogent confabulation based text recognition models. The exploration and optimization of the cogent confabulation based models have been conducted through various comparisons. The optimized network offered a better accuracy performance for the sentence completion. To …
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Deep learning for digitising complex engineering drawings.
… all drawing components which are the symbols, text and connections. Although there has been significant improvement in computer vision due to the development of deep learning, the same progress has not been seen for engineering drawing digitisation. Most of these methods were based on …