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	Optical character recognition from image data Marinič, Michal ; Uher, Václav (referee) ; Burget, Radim (advisor) The thesis is concerned with optical character recognition from image data with different methods used for character classification. In the first theoretical part it focuses on explanation of all important parts of system for optical character recognition. The latter practical part of the thesis describes an example of image segmentation, the implementation of artificial neural networks for image recognition and create simple training set of data for the evaluation of the network. It also describes the process of training Tesseract tool and its implementation in a simple application EasyTessOCR for character recognition. Detailed record
	Feature extraction and classification of image data Jasovský, Filip ; Smékal, Zdeněk (referee) ; Burget, Radim (advisor) This thesis deals with feature extraction and classification of image data in programming environment of Rapidminer. The theoretical part of this thesis describes the function and the possibility of ongoing processes in the process of image processing. The practical part deals with the training classifier of data in Rapidminer. Detailed record
	Feature extraction and classification of image data Jasovský, Filip ; Smékal, Zdeněk (referee) ; Burget, Radim (advisor) This thesis deals with feature extraction and classification of image data in programming environment of Rapidminer. The theoretical part of this thesis describes the function and the possibility of ongoing processes in the process of image processing. The practical part deals with the training classifier of data in Rapidminer. Detailed record
	Optical character recognition from image data Marinič, Michal ; Uher, Václav (referee) ; Burget, Radim (advisor) The thesis is concerned with optical character recognition from image data with different methods used for character classification. In the first theoretical part it focuses on explanation of all important parts of system for optical character recognition. The latter practical part of the thesis describes an example of image segmentation, the implementation of artificial neural networks for image recognition and create simple training set of data for the evaluation of the network. It also describes the process of training Tesseract tool and its implementation in a simple application EasyTessOCR for character recognition. Detailed record

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