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Relevant bibliographies by topics / Scene Text Recognition / Dissertations / Theses

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Dissertations / Theses on the topic 'Scene Text Recognition'

Author: Grafiati

Published: 20 February 2023

Last updated: 31 July 2025

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1

Sabir, Ahmed. "Enhancing scene text recognition with visual context information." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/670286.

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This thesis addresses the problem of improving text spotting systems, which aim to detect and recognize text in unrestricted images (e.g. a street sign, an advertisement, a bus destination, etc.). The goal is to improve the performance of off-the-shelf vision systems by exploiting the semantic information derived from the image itself. The rationale is that knowing the content of the image or the visual context can help to decide which words are the correct andidate words. For example, the fact that an image shows a coffee shop makes it more likely that a word on a signboard reads as Dunkin

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2

Wang, Kewei. "Multilingual text-image recognition based on zero real sample learning." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/29579.

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Scene text recognition (STR), derived from optical character recognition (OCR), has been extensively studied and made marvelous achievements in the past decades. While great progress has been made in majority languages such as Chinese and English, however, for most of the minority languages, the exceptional lack of annotated text databases for training purposes is always exists. Thus, the paper aims to enhance the overall performance of multilingual STR models for minority languages. We strictly choose Japanese as a target minority language and build a novel STR model. For text detection, w

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3

Fei, Xiao Lei. "Hybrid segmentation on slant & skewed deformation text in natural scene images." Thesis, University of Macau, 2010. http://umaclib3.umac.mo/record=b2182857.

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4

Saracoglu, Ahmet. "Localization And Recognition Of Text In Digital Media." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12609028/index.pdf.

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Textual information within digital media can be used in many areas such as, indexing and structuring of media databases, in the aid of visually impaired, translation of foreign signs and many more. This said, mainly text can be separated into two categories in digital media as, overlay-text and scene-text. In this thesis localization and recognition of video text regardless of its category in digital media is investigated. As a necessary first step, framework of a complete system is discussed. Next, a comparative analysis of feature vector and classification method pairs is presented. Furtherm

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5

Hsieh, Ming-Yuan, and 謝明遠. "Scene Text Detection and Recognition in Video Frames." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/69051880149052992560.

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碩士<br>大葉大學<br>資訊管理學系碩士班<br>100<br>People sometimes need to focus on the specific something, and they are unable to take into account the surrounding environment. Example: driving car. In driving car, people need to focus in front of traffic conditions, and they are easy to overlook road sign. Help people notice the sign’s message with using computer vision technology. This paper major research includes learning skew text and text recognition in continuous frame. In the scene image, text almost is skew. So the result is bad in using document ORC. We let OCR kernel recognition text by learning s

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6

Li, Hui. "Text detection and recognition in natural scene images." Thesis, 2018. http://hdl.handle.net/2440/115175.

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This thesis addresses the problem of end-to-end text detection and recognition in natural scene images based on deep neural networks. Scene text detection and recognition aim to find regions in an image that are considered as text by human beings, generate a bounding box for each word and output a corresponding sequence of characters. As a useful task in image analysis, scene text detection and recognition attract much attention in computer vision field. In this thesis, we tackle this problem by taking advantage of the success in deep learning techniques. Car license plates can be viewe

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7

Kumar, Deepak. "Methods for Text Segmentation from Scene Images." Thesis, 2014. http://etd.iisc.ac.in/handle/2005/2693.

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Recognition of text from camera-captured scene/born-digital images help in the development of aids for the blind, unmanned navigation systems and spam filters. However, text in such images is not confined to any page layout, and its location within in the image is random in nature. In addition, motion blur, non-uniform illumination, skew, occlusion and scale-based degradations increase the complexity in locating and recognizing the text in a scene/born-digital image. Text localization and segmentation techniques are proposed for the born-digital image data set. The proposed OTCYMIST technique

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8

Kumar, Deepak. "Methods for Text Segmentation from Scene Images." Thesis, 2014. http://etd.iisc.ernet.in/handle/2005/2693.

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Recognition of text from camera-captured scene/born-digital images help in the development of aids for the blind, unmanned navigation systems and spam filters. However, text in such images is not confined to any page layout, and its location within in the image is random in nature. In addition, motion blur, non-uniform illumination, skew, occlusion and scale-based degradations increase the complexity in locating and recognizing the text in a scene/born-digital image. Text localization and segmentation techniques are proposed for the born-digital image data set. The proposed OTCYMIST technique

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9

Dmitry, Ladeev, and LadeevDmitry. "3D Effects Elimination Towards Text Recognition In Natural Scene Images." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/60952898460411219561.

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碩士<br>亞洲大學<br>資訊工程學系碩士班<br>94<br>3D text recognition is an area that develops fast in the past years due to the great improvement in the computational capabilities of hand devises and computer systems, and the increase in the imaging quality of digital cameras. 3D text recognition using digital cameras is different from traditional 2D text recognition using scanners in many ways. 3D effects have to be considered and eliminated before the performing of 3D text recognition.Hence, new methodologies have to be developed for 3D text recognition. This work is devoted to the preprocessing part of 3D

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10

Weinman, Jerod J. "Unified detection and recognition for reading text in scene images." 2008. https://scholarworks.umass.edu/dissertations/AAI3325128.

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Although an automated reader for the blind first appeared nearly two-hundred years ago, computers can currently "read" document text about as well as a seven-year-old. Scene text recognition brings many new challenges. A central limitation of current approaches is a feed-forward, bottom-up, pipelined architecture that isolates the many tasks and information involved in reading. The result is a system that commits errors from which it cannot recover and has components that lack access to relevant information. We propose a system for scene text reading that in its design, training, and operation

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11

Hsieh, Yi-Chia, and 謝易家. "Real-Time Scene Text Detection and Recognition Using Extremal Region." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/f442q9.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>105<br>In the era of information explosion, multimedia has become an indispensable part of modern life. People use videos and images as digital diary and create enormous image text data consequently. Texts in image usually contain informative data, and therefore scene text recognition system would be a promising application. This thesis presents a fast scene text localization and recognition algorithm. We have develop a system that takes images as input and recognizes texts in the input images as output. The system consists of three parts: (1) Character candidate ext

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12

Anil, Prasad M. N. "Segmentation Strategies for Scene Word Images." Thesis, 2014. http://etd.iisc.ac.in/handle/2005/2889.

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13

Anil, Prasad M. N. "Segmentation Strategies for Scene Word Images." Thesis, 2014. http://hdl.handle.net/2005/2889.

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14

Feild, Jacqueline L. "Improving text recognition in images of natural scenes." 2014. https://scholarworks.umass.edu/dissertations/AAI3615413.

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The area of scene text recognition focuses on the problem of recognizing arbitrary text in images of natural scenes. Examples of scene text include street signs, business signs, grocery item labels, and license plates. With the increased use of smartphones and digital cameras, the ability to accurately recognize text in images is becoming increasingly useful and many people will benefit from advances in this area. The goal of this thesis is to develop methods for improving scene text recognition. We do this by incorporating new types of information into models and by exploring how to compose s

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15

Chiang, Wen-Pin, and 江文彬. "Text Plates Detection and Recognition Techniques for an Autonomous Robot to Assist Visually Impaired Persons in Natural Scenes." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/14688658059095102295.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>98<br>For most people, a visual display of information is the fastest and most direct way to receive external information, through activities such as billboards and neon signs. However, for the visually impaired, it can not be conveyed via the visual way to obtain information. In recent years, many researchers have done the best of their abilities in the development of Optical Character Recognition. The main purpose of these researches is to help people retrieve text messages from the images, allowing the visually impaired also have the right to read the text. In our

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