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License Plate Detection and Recognition
Řepka, Michal ; Sochor, Jakub (referee) ; Herout, Adam (advisor)
This paper addresses the problem of object detection and recognition from still images using methods of computer vision. The objects of detection are czech license plates and the goal of this paper was to create an automatic license plate anotation tool. Suggested solution uses edge detection and machine learned cascading classifiers. Created application was then tested on dataset taken by the author.
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Braille Reader for Android OS
Bokiš, Daniel ; Dluhoš, Ondřej (referee) ; Procházka, Boris (advisor)
This thesis deals with the analysis and recognition of the Braille characters from a photo taken by a mobile phone. It describes design and implementation of application for recognition on Android OS mobile platform. Described general principles of analysis and processing of image are also applicable in other systems.
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Keyboard and Keys Image Recognition
Lorenc, Jan ; Lichtner, Ondrej (referee) ; Pluskal, Jan (advisor)
Cílem práce je vytvoření řešení pro rozpoznání kláves na klávesnici za účelem automatizace robotického psaní na klávesnici. V rámci práce jsou vytvořeny datasety pro detekci klávesnice v obraze, rozpoznání znaků v obraze a dodatečnou korekci detekovaných znaků na základě různých rozložení klávesnic. Práce předkládá různé přístupy k řešení problému rozpoznání znaků na klávesnici a vybírá ten nejvhodnější. Navržený postup je rozdělen do 3 fází, kterým odpovídají připravené datasety. Pomocí neuronových sítí a Cannyho metody detekce hran se nejprve rozpozná klávesnice v obraze a následně se v nalezené klávesnici detekují jednotlivé znaky. V poslední fázi dochází k dodatečnému zpracování výsledků (oprava znaků, doplnění nerozpoznaných znaků, nalezení speciálních kláves apod.). Pro každou část jsou vyhodnoceny výsledky. Přínos práce spočívá ve vytvoření datasetů pro detekci klávesnice a jejích kláves a především modulárního a rozšiřitelného řešení pro detekční proces se slibnými výsledky.
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Optical Character Recognition at Camera Captured Images
Kindermann, Hubert ; Blažek, Jan (advisor) ; Kolomazník, Jan (referee)
We present solution of steps necessary for binarization and text lines detection contained in printed documents digitized by the camera. We introduce a normalization of non-uniform illumination method for text photographs. We propose input bitmap binarization algorithm based on two-dimensional probability pixel model which also considers its surrounding. We continue with description of robust text lines orientation detector based on optimization of risk function using first order derivatives of image function. In the end we present text lines detection and segmentation algorithm. Final shape of segmented lines is optimized with usage of graph algorithm. Powered by TCPDF (www.tcpdf.org)
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Braille Reader for Android OS
Bokiš, Daniel ; Dluhoš, Ondřej (referee) ; Procházka, Boris (advisor)
This thesis deals with the analysis and recognition of the Braille characters from a photo taken by a mobile phone. It describes design and implementation of application for recognition on Android OS mobile platform. Described general principles of analysis and processing of image are also applicable in other systems.
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Optical Character Recognition at Camera Captured Images
Kindermann, Hubert ; Blažek, Jan (advisor) ; Kolomazník, Jan (referee)
We present solution of steps necessary for binarization and text lines detection contained in printed documents digitized by the camera. We introduce a normalization of non-uniform illumination method for text photographs. We propose input bitmap binarization algorithm based on two-dimensional probability pixel model which also considers its surrounding. We continue with description of robust text lines orientation detector based on optimization of risk function using first order derivatives of image function. In the end we present text lines detection and segmentation algorithm. Final shape of segmented lines is optimized with usage of graph algorithm. Powered by TCPDF (www.tcpdf.org)
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License Plate Detection and Recognition
Řepka, Michal ; Sochor, Jakub (referee) ; Herout, Adam (advisor)
This paper addresses the problem of object detection and recognition from still images using methods of computer vision. The objects of detection are czech license plates and the goal of this paper was to create an automatic license plate anotation tool. Suggested solution uses edge detection and machine learned cascading classifiers. Created application was then tested on dataset taken by the author.
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