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Topology Recognition from Crossroad Plan
Huták, Petr ; Bartík, Vladimír (referee) ; Kreslíková, Jitka (advisor)
This master‘s thesis describes research, design and development of system for topology recognition from crossroad plan. It explains the methods used for image processing, image segmentation, object recognition. It describes approaches in processing of maps represented by raster images and target software, in which the final product of practical part of project will be integrated. Thesis is focused mainly on comparison of different approaches in feature extraction from raster maps and determination their semantic meaning. Practical part of project is implemented in C# language with OpenCV library.
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Automatic Segmentation of Documents Stored as Images
Jakub, Dušan ; Španěl, Michal (referee) ; Szőke, Igor (advisor)
This work deals with dividing the documents stored as images into three groups of segments - background, text and graphics. It introduces various solutions and the method using Gabor filters and artficial neural networks is described in detail. The selection of apropriate settings of the filters and training parameters of the network is discussed. Connected components searching is used for improving the results. A classifier writen in C++ and OpenCV library is part of the work. The designed procedure is applied for segmentation of scanned scientific papers, but also the results of segmentation of more complex documents (advertisements, presentation slides) are presented.
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Mobile Interpreter for iPhone
Vaňková, Klára ; Chrápek, David (referee) ; Beran, Vítězslav (advisor)
This bachelor thesis deals with detection of text in an image. It describes searching for MSER areas, finding which of those areas are letters by using SVM classifier and connecting the letters into words. This work shows the usage of text detection in the application Mobile Interpreter , which extracts text from a picture and translates the text into a home language. The application uses OpenCV library for image processing and Tesseract library for OCR functionality. This thesis describes implementation of a prototype of the application and presents the results of the text detection.
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Optical Character Recognition
Juřica, Dalibor ; Bartoň, Radek (referee) ; Švub, Miroslav (advisor)
The document is discussing the issue of the computer vision with ability to character recignition in the image. Wavelet transform is used for preprocessing the image. Pixel energy feature is firstly used for searchich candidate text pixels. Density region growing method is then used to collect candidate pixels to the separate regions, which will be candidate text regions. Several of the features are calculated over the regions and the SVM classifier is used to derive, if the region is really a text region or not.
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Local Environment as Hyperlink
Mešár, Marek ; Maršík, Lukáš (referee) ; Beran, Vítězslav (advisor)
Document describes selected techniques and approaches to problem of text detection, extraction and recognition on modern mobile devices. It also describes their proper presentation to the user interface and their conversion to hyperlinks as a source of information about surrounding world. The paper outlines text detection and recognition technique based on MSER detection and also describes the use of image features tracking method for text motion estimation.
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Automatic Text Recognition for Robots
Hartman, Zdeněk ; Materna, Zdeněk (referee) ; Španěl, Michal (advisor)
This bachelor thesis describe module design for text detection and recognition for use in robotic systems. To detect charters is used Stroke Width transform, which is applied on the input edge image. In the output image after Stroke Width transform are found connected components. For letter grouping into a words is used Hough transform, which is applied on the created binary image. This image contains points, which corresponding positions of found connected components. To recognize signs in detected areas is used Tesseract library. Before recognition detected areas are extracted and rotated into a horizontal position. This proposed detector can detect even rotated text. Accuracy of detection of the text is 75% above the test set "informační tabule".
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Systems for checing electronic texts
Zouhar, Petr ; Malý, Jan (referee) ; Pfeifer, Václav (advisor)
The work deals with the possibility of control of electronic texts. Whether it is a source codes or standard text documents. The first chapter is devoted to a brief explanation of the term plagiarism and its characters. Sequentially we describe the methods and metrics used to detect plagiarist. Then we pay attention to detect plagiarism in the free text and source codes. We describe the way of preprocessing of a file and choice of basic units, which represent the document in the comparing. Source codes have a exact syntax. Therefore we attend to the syntax and semantic analysis in the chapter, which describes the check of source codes. The second half of the work is focused on the practical part, particularly on programs intended to control the source codes. The programs are divided to the freely available and the commercial. This is followed by their brief description and if it is a free trial possible we mention the results from this comparing. So we created a corpus of source codes. At the end of the work we focus on design of a program, which compares two source codes on the basis of statistical similarities.
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