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Car Licence Plate Detection and Recognition
Kovaříček, Roman ; Procházka, Boris (referee) ; Váňa, Jan (advisor)
This bachelor thesis deals with finding the license plates in the image and pattern recognition. Work describes short history of the state license plates. It deals with also the current state license plates and their problems. It analyzes the process of image segmentation and follow evaluation of selected areas. A part of the work is design and implementation of algorithms that solve candidate search areas or characters. The final step is the recognition of individual characters and display the user with details of the result.
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ANSI art
Novák, Vlastimil ; Slaný, Karel (referee) ; Vašíček, Zdeněk (advisor)
The present bachelor thesis deals with automatic generation of ASCII graphics. The thesis is divided in several parts. First part describes the basics of computer graphics, image processing and recognition. The next part is focused on a theory and history of two most famous art styles called ASCII art and ANSI art. The methods of char recognition and problems arising from their testing are described in software application design. The methods reducing colour space of analyzed area were designed for char foreground and background colouring. The semifinal part is focused on implementation of library generating ANSI and ASCII art image and software application enabling the setting of all necessary parameters. The testing on a series of images, evaluation of results reached during the development and suggestions of possible future extensions are described in last part of the thesis.
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Caligraphy Editor with Japanese Character Recognition
Horáček, Petr ; Žák, Pavel (referee) ; Švub, Miroslav (advisor)
This work focuses on creating an application to support Japanese character learning. It also contains a brief overview of Japanese writing's history and evolution. Based on the study of existing options, this work sets the requirements for the application. It discusses problems and tries to find possible solutions. Character recognition is an important part. The work describes chosen solutions and their implementations. It ends by demonstrating achieved results and discussing options for further development of the system.
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Application of neural net in image processing
Nagyová, Lenka ; Svobodová,, Jitka (referee) ; Boleček, Libor (advisor)
This work focuses on the theory of artificial neural networks: the history, individual ways of learning and architecture of networks. It is also necessary to desribe the image processing blocks from scanning and image processing through segmentation to object recognition. The next part is focused on connecting the previous two parts, and therefore on the use of neural networks in image processing, specifically the identification of objects. In the practical part of the work is designed the user application for recognizing characters such as numbers, uppercase and lowercase letters.
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Character recognition of real scenes using neural networks
Fiala, Petr ; Neumann, Lukáš (advisor) ; Berka, Petr (referee)
This thesis focuses on a problem of character recognition from real scenes, which has earned significant amount of attention with the development of modern technology. The aim of the paper is to use an algorithm that has state-of-art performance on standard data sets and apply it for the recognition task. The chosen algorithm is a convolution network with deep structure where the application of the specified model has not yet been published. The implemented solution is built on theoretical parts which are provided in comprehensive overview. Two types of neural network are used in the practical part: a multilayer perceptron and the convolution model. But as the complex structure of the convolution networks gives much better performance compare with the classification error of the MLP on the first data set, only the convolution structure is used in the further experiments. The model is validated on two public data sets that correspond with the specification of the task. In order to obtain an optimal solution based on the data structure several tests had been made on the modificated network and with various adjustments on the input data. Presented solution provided comparable prediction rate compare to the best results of the other studies while using artificially generated learning pattern. In conclusion, the thesis describes possible extensions and improvements of the model, which should lead to the decrease of the classification error.
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Forms of text data input and processing in business information systems - trends and current practices
Válková, Jana ; Stanovská, Iva (advisor) ; Hais, Petr (referee)
This thesis introduces readers to the basic types of the text and information inputs and processing to the computer. Thesis also includes historical contexts, current trends and future perspective of computer data input technologies and their use in practice. The first part of the thesis is a summary of a particular forms of entering and processing of the text data and information. The following part presents technological trends on the market concentrated on the automatic speech recognition systems along with the possibilities of their application in the business sphere. The rest of the thesis consists of a survey between Czech IT companies and based on it's results comes a suggestion of which technologies should be used as a part of the information systems.
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The Function of OCR Technology and its Usage in Document Processing
Pouzar, Aleš ; Horný, Stanislav (advisor) ; Krsek, Libor (referee)
Owing to a boom of information technologies optical character recognition has recently become a popular and affordable technology, enabling an effective way of sharing a large amount of information stored in paper documents. This work deals with systems for document conversion of analog data into electronic and editable form. It outlines the main methodology of OCR technology, evaluates a performance of OCR applications and analyses the contribution of imaging technologies through the benchmark tests on the set of paper documents.
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History of Artificial Intelligence - Neural Networks
Šuchman, Ondřej ; Jirků, Petr (advisor) ; Berka, Petr (referee)
The main aim of my bachelor thesis is to map historical development of neural networks from the beginning (first mathematical model of neuron from 1943) to present and application of neural networks to "intelligent" devices, which can recognize the patterns, graphical data or convert English written text to the oral form (NETtalk). I have carefully studied the literature named in the chapter "Literatura a zdroje" in order to achieve this aim. In the first charter there is the theoretical survey about the field of artificial intelligence and neural networks. Then the thesis is well-arranged to five periods, which were important for neural networks in either good or bad way. To the most important discoveries are dedicated more space and there is mentioned their functionality and using possibilities. There is not enough space on this thesis to cover all the neural networks ever made. The aim of the thesis is to demostrate certain kinds of networks, their first usage, the most important algorithms and also to mention the significant applications of neural networks.
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