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Segmentation of logical units in text
Kostelník, Martin ; Kišš, Martin (referee) ; Beneš, Karel (advisor)
Cílem projektu bylo vytvořit systém pro automatickou segmentaci textu do logických celků. Práce staví na systému PERO-OCR a cílí na zlepšení zpracovávání českých historických dokumentů a jejich vyhledávačů používaných knihovníky a vědci. Práce zahrnovala vytvoření a anotace vlastní datové sady složené celkem z 4044 stránek z knih, slovníků a novin. K problému segmentaci textu je přistoupeno inovativních přístupem, kdy je brán jako shlukovací problém jednotlivých řádků textu. Metoda je dvoufázová: nejprve probíhá detekce regionů textu pomocí modelu YOLOv8 a následuje jejich spojení grafovou neuronovou sítí. Vyhodnocení je provedeno pomocí shlukovací metriky V-measure a na testovacím datasetu dosahuje hodnot 77.93 % pro knihy, 95.79 % pro slovníky a 90.23 % pro noviny.
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Automatic Link Detection in Parts of Audiovisual Documents
Sychra, Marek ; Černocký, Jan (referee) ; Szőke, Igor (advisor)
This paper deals with topic detection. Specifically link detection - finding similarities amongst a group of short documents according to their topic and story segmentation - finding borders between two topically different parts in a large document. The main motivation for research was practical application with the use of presentation materials from lectures at FIT (linking parts of different lectures and courses). The solution of link detection is achieved by text and word analysis, which includes learning the meaning and importance of each word. Story segmentation uses this while searching for the boundaries. Both parts of the problem (link detection, story segmentation) gave great results while testing with a standard dataset (world news reports). During evaluation of lecture processing the success rate was lower, but still good.
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Simple Character Recognition
Hamrský, Jan ; Svoboda, Pavel (referee) ; Polok, Lukáš (advisor)
This work deals with the process of text location and recognition in an image document. It discusses the matter of feature extraction and its usage in machine learning. Portion of this work is devoted to design and implementation of application for simple character recognition of machine printed text.
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A Tool for Analysis of User's Typing Skills
Moltaš, Jaroslav ; Szőke, Igor (referee) ; Herout, Adam (advisor)
This master's thesis deals with analysis of user's typing skills in Windows system. Touch method technique for fast keyboard typing is described. The possibilities of Windows keyboard hooking and GUI making are mentioned. The description of segmentation of written text and writing level evaluation techniques are part of this thesis. Another part deals with the system implementation. The result application collects data about user's typing skills and evaluates the quality of typing and number of mistakes.
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Handwritten Character Recognition Using Artificial Neural Networks
Smejkal, Vojtěch ; Fapšo, Michal (referee) ; Plchot, Oldřich (advisor)
Thesis deals with handwritten block letters and digits recognition using artificial neural networks. Text segmentation algorithms, feature extraction methods and backpropagation learning are explained. There are also described performed experiments with variety of configurations on datasets. Application with graphical user interface and interactive mouse-written text recognition was created to train new neural networks and test their effectivity.
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Optical Character Recognition
Suchý, Václav ; Kršek, Přemysl (referee) ; Španěl, Michal (advisor)
This paper describes problems of text recognition in picture. Discuss successes, advatages and disadvantages several methods of recognition. In second part there is described design and implementation of a simple OCR software for typewritten text recognition by using artificial neural networks.
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Text recognition with artificial neural networks
Peřinová, Barbora ; Hesko, Branislav (referee) ; Mézl, Martin (advisor)
This master’s thesis deals with optical character recognition. The first part describes the basic types of optical character recognition tasks and divides algorithm into individual phases. For each phase the most commonly used methods are described in the next part. Within the character recognition phase the problematics of artificial neural networks and their usage in given phase is explained, specifically multilayer perceptron and convolutional neural networks. The second part deals with requirements definition for specific application to be used as feedback for robotic system. Convolution neural networks and CNTK library for deep learning using algorithm implementation in .NET is introduced. Finally, the test results of the individual phases of the proposed solution and the comparison with the open source Tesseract engine are discussed.
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Text recognition with artificial neural networks
Peřinová, Barbora ; Hesko, Branislav (referee) ; Mézl, Martin (advisor)
This master’s thesis deals with optical character recognition. The first part describes the basic types of optical character recognition tasks and divides algorithm into individual phases. For each phase the most commonly used methods are described in the next part. Within the character recognition phase the problematics of artificial neural networks and their usage in given phase is explained, specifically multilayer perceptron and convolutional neural networks. The second part deals with requirements definition for specific application to be used as feedback for robotic system. Convolution neural networks and CNTK library for deep learning using algorithm implementation in .NET is introduced. Finally, the test results of the individual phases of the proposed solution and the comparison with the open source Tesseract engine are discussed.
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Posmodernity in the work of Enrique Vila-Matas
Grabec, Jan ; Sánchez Fernández, Juan Antonio (advisor) ; Poláková, Dora (referee)
This thesis deals with the work of the Spanish writer Enrique Vila-Matas. The text firstly focuses on Vila-Matas himself and subsequently contemplates the role of this author within the scope of the Spanish, Hispanic and ultimately also international literary history. Given the fact that Enrique Vila-Matas is, in many aspects, an exemplary post-modern writer, it is interesting to follow the paralels in his narrative approaches and compare them with reflections of reality by various sociologists and philosophers, such as, for example, the French philosopher Francise Lyotard. Vila-Matas is a direct follower of the so called metaliterary approach to literature - literature about literature - the development of this method can be encountered in the Spanish prose of Jorge Luis Borges. This manner of writing is very close to the literary theories of Jacques Derrida or Julia Kristeva. Thoughts of these authors are easily applicable to the works of Vila-Matas due to the fact that they are essencially identical or better to say, they are fictionally implemented in the works of Vila- Matas. This part of the thesis focuses, among other issues, also on the very term intertextuality, a term very significant for the work of Vila-Matas. The last part of this paper deals with the analysis of several prosaic...
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