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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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UIC codes detection and recognition
Zemčík, Tomáš ; Richter, Miloslav (referee) ; Janáková, Ilona (advisor)
Machine detection and reading of UIC identification codes on railway rolling stock allows for automation of some processes on the railway and makes running of the railway safer and more efficient. This thesis provides insight into the problem of machine text detection and reading. It further proposes and implements a solution to the problem of reading UIC codes in line camera scanned images.
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Optical Character Recognition
Pokorný, Pavel ; Juránek, Roman (referee) ; Mlích, Jozef (advisor)
This paper presents some of the methods for locating and recognizing text in an image document. It describes feature extraction issues and commonly used machine learning algorithms. In the latest part, there is description of design and implementation of application for printed text recognition.
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Real-time text translation with using mobile devices
Sztefek, Lukáš ; Rozman, Jaroslav (referee) ; Samek, Jan (advisor)
The aim of this thesis is design and implementation of Android application which will serve as real-time translator from one language to another, including several world languages and Czech. The text obtained from image is translated and replaces the original one with keeping its visual look as much as possible. The reader gradually gets familiar with getting text from images, text translation, displaying text on mobile device and Android OS implementation. In conclusion, the experiments with multiple input images and comparison of existings applications have been done.
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Holistic License Plate Recognition Based on Convolution Neural Networks
Le, Hoang Anh ; Hradiš, Michal (referee) ; Špaňhel, Jakub (advisor)
Main goal of this work was to create a holistic license plate reader, with an emphasis on achieving the highest possible accuracy on low quality images. Combination of convolutional and recurrent neural networks was designed and implemented, with usage of LSTM and CTC, where the inputs are cut-outs from the entire license plate. Competitive networks were also implemented to compare results. Networks were compared on a total of 4 datasets and the results were, that my design has achieved the best results with a recognition accuracy of 97.6%.
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Image processing using Android device - automatic detection and recognition of business cards
Krčmář, Martin ; Klečka, Jan (referee) ; Honec, Peter (advisor)
The aim of this Master´s thesis is designing and developing Android application, which will be used for automatic recognition of business cards and import the contact information. The first part describes the history, architecture and development tools of operating system Android. The second part is an analysis of selected computer vision methods that were used during developing application. Libraries OpenCV and Tessaract OCR are described in this part. The main part describes the development of the application with conditions and limitations for the proper function of the application. The final part is an evaluation of the success and recognition of importing contact information from business cards.
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Quality Check of Text in Forms
Moravec, Zbyněk ; Juránek, Roman (referee) ; Zemčík, Pavel (advisor)
Purpose of this thesis is the quality check of correct button text display on photographed monitors. These photographs contain a variety of image distortions which complicates the following image graphic element recognition. This paper outlines several possibilities to detect buttons on forms and further elaborates on the implemented detection based on contour shapes description. After buttons are found, their defects are detected subsequently. Additionally, this thesis describes an automatic identification of picture with the highest quality for documentation purposes.
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Filtering of Texts Extracted from PDF, OCR or Web
Žigárdi, Tomáš ; Plchot, Oldřich (referee) ; Szőke, Igor (advisor)
This bachelor thesis describes normalization of texts created by conversion of other formats and creation of pronunciation dictionaries. They are important in speech processing process. Mistakes caused by conversion and original solution of this problem are analyzed. Design and implementation of normalization steps and pronunciation dictionaries is shown. Results are compared with results of original solution of this problem.
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Edge Detection and Representation Algorithms for Object Recognition
Beránek, Jan ; Herout, Adam (referee) ; Španěl, Michal (advisor)
Main topic of this work are edge detection and representation algorithms used in an digital image. Some of typically used algorithms and methods are shown and described. Next aim of this work is design and description of implementation of a simple OCR system based on edge detection with use of an artificial neural net for a machine printed character recognition. The system was written in C programming language and uses OpenCV graphic library and FANN library for creating a neural net. Application was created and tested under Windows XP operating system.
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