Thesis Details

Holistické rozpoznání registrační značky pomocí konvolučních neuronových sítí

Bachelor's Thesis Student: Le Hoang Anh Academic Year: 2018/2019 Supervisor: Špaňhel Jakub, Ing.
English title
Holistic License Plate Recognition Based on Convolution Neural Networks
Language
Czech
Abstract

Main goal of this work was to create a holistic license plate reader, with an emphasis on achieving the highest possible accuracy on low quality images. Combination of convolutional and recurrent neural networks was designed and implemented, with usage of LSTM and CTC, where the inputs are cut-outs from the entire license plate. Competitive networks were also implemented to compare results. Networks were compared on a total of 4 datasets and the results were, that my design has achieved the best results with a recognition accuracy of 97.6%.

Keywords

license plate, machine learning, CNN, RNN, OCR, LSTM, CTC

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade C
Date
11 June 2019
Reviewer
Hradiš Michal, Ing., Ph.D.
Committee
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Citation
LE, Hoang. Holistické rozpoznání registrační značky pomocí konvolučních neuronových sítí. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-11. Supervised by Špaňhel Jakub. Available from: https://www.fit.vut.cz/study/thesis/20829/
BibTeX 
@bachelorsthesis{FITBT20829,
    author = "Anh Hoang Le",
    type = "Bachelor's thesis",
    title = "Holistick\'{e} rozpozn\'{a}n\'{i} registra\v{c}n\'{i} zna\v{c}ky pomoc\'{i} konvolu\v{c}n\'{i}ch neuronov\'{y}ch s\'{i}t\'{i}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/20829/"
}

Theses

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