Thesis Details

Detekce a rozpoznání registrační značky z jedoucího vozidla

Bachelor's Thesis Student: Tomovič Martin Academic Year: 2015/2016 Supervisor: Špaňhel Jakub, Ing.
English title
On-Board License Plate Detection and Recognition
Language
Czech
Abstract

This Bachelor's thesis aims to create an aplication for detection and recognition of license plates suitable for real-time processing. The work contains analysis of available methods. Part of the work is focused on present form of licence plates in Czech Republic. As a result of work, new data set was created and computer application was implemented. The application uses existing libraries designed for computer vision and machine learning with main purpose to detect and recognize licence plates from video. Detection is realized with help of cascade classifier, and recognition by Perceptron neural network. Final chapter subsequently contains evaluation of success rate of implemented solution.

Keywords

License plate detection, license plate localization, license plate recognition, character segmentation, Czech license plates, cascade classifier

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade D
Date
14 June 2016
Reviewer
Sochor Jakub, Ing.
Committee
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Kunovský Jiří, doc. Ing., CSc. (DITS FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
TOMOVIČ, Martin. Detekce a rozpoznání registrační značky z jedoucího vozidla. Brno, 2016. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2016-06-14. Supervised by Špaňhel Jakub. Available from: https://www.fit.vut.cz/study/thesis/18707/
BibTeX 
@bachelorsthesis{FITBT18707,
    author = "Martin Tomovi\v{c}",
    type = "Bachelor's thesis",
    title = "Detekce a rozpozn\'{a}n\'{i} registra\v{c}n\'{i} zna\v{c}ky z jedouc\'{i}ho vozidla",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2016,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/18707/"
}

Theses

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