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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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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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License Plate Detection and Localization
Šlosár, Peter ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This bachelor's thesis deals with the detection and localization of vehicle registration plates. Theoretical part discusses properties and appearance of Czech and Slovak license plates and also methods presently used for detection and localization of license plates. Main part of the thesis consists of design and implementation of new detection and localization method using corner detector, clustering and cascade classification. Final part describes testing of this system using dataset and evaluates its success rate.
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iPhone Application for Number Plate Recognition
Sládeček, Roman ; Dvořák, Radim (referee) ; Procházka, Boris (advisor)
This thesis talks about theoretical and practical side of development of application for Apple iPhone mobile cell phone and for its operating system called iOS. In theoretical part are contained informations about history of this device, about tools for creating application for this mobile platform and there is shortly sketched procedure and process how the application is deployed into the phone. Next part deals with the licence number plates, their signification and integrity restrictions. Main core of whole thesis is a practical part about creation and implementation mobile application for recognition of that number plates with supporting of built-in camera and its consecutive text representation or manipulation with that data. In the final part there is a review of results which this application brings after testing and experimenting in different conditions.
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Car Licence Plate Anonymization
Skřivánková, Barbora ; Zachariášová, Marcela (referee) ; Drahošová, Michaela (advisor)
While browsing an online map server, continuous photographs of certain places can be browsed as well. When the map service takes pictures of a public space, there are some personal data captured as well (i.e. faces, car licence plates). The goal of this thesis is the design of automated car licence plates anonymization system, optimized for the Panorama service provided by the Seznam.cz a.s. corporation. In this thesis, the process of car licence plate anonymization is divided into two parts: the first one solves a detection of cars and the second solves a car licence plate localization in the selected image. The car detection is based on the deep neural network approach, the car licence plate localization is solved by using a fully connected neural network performing a regression task. The goal of this thesis is to get over the disadvantages of commercial solution used nowadays. These are false posititive results and high computational complexity. Results of this thesis are not as good as expected. The reason could be a dataset provided by Seznam.cz a.s. corporation, which seemed to be robust enough in the beginning, but in the end it showed up to be not suffice enough to train the neural network.
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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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Car Licence Plate Anonymization
Skřivánková, Barbora ; Zachariášová, Marcela (referee) ; Drahošová, Michaela (advisor)
While browsing an online map server, continuous photographs of certain places can be browsed as well. When the map service takes pictures of a public space, there are some personal data captured as well (i.e. faces, car licence plates). The goal of this thesis is the design of automated car licence plates anonymization system, optimized for the Panorama service provided by the Seznam.cz a.s. corporation. In this thesis, the process of car licence plate anonymization is divided into two parts: the first one solves a detection of cars and the second solves a car licence plate localization in the selected image. The car detection is based on the deep neural network approach, the car licence plate localization is solved by using a fully connected neural network performing a regression task. The goal of this thesis is to get over the disadvantages of commercial solution used nowadays. These are false posititive results and high computational complexity. Results of this thesis are not as good as expected. The reason could be a dataset provided by Seznam.cz a.s. corporation, which seemed to be robust enough in the beginning, but in the end it showed up to be not suffice enough to train the neural network.
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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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