Thesis Details

Rozpoznávání CAPTCHA kódů

Bachelor's Thesis Student: Pazderka Radek Academic Year: 2016/2017 Supervisor: Zbořil František V., doc. Ing., CSc.
English title
Captcha Code Recognition
Language
Czech
Abstract

This bachelor thesis is dedicated to design and implementation of application, which's purpose is to recognize text CAPTCHA codes. It describes image processing algorithms, segmentation algorithms and character classification. Two different aproaches were used for classification. Convolution neural network LeNet and histogram classificator, which uses Pearson's correlation coefficient. Chosen classificators were tested on different CAPTCHA codes while finding out the success rate of recognition.

Keywords

CAPTCHA code, machine learning, convolution neural network, Lenet, Caffe, cascade classifier, histogram classifier

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
14 June 2017
Reviewer
Rozman Jaroslav, Ing., Ph.D.
Committee
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), předseda
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Hliněná Dana, doc. RNDr., Ph.D. (DMAT FEEC BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Zachariášová Marcela, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
PAZDERKA, Radek. Rozpoznávání CAPTCHA kódů. Brno, 2017. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-14. Supervised by Zbořil František V.. Available from: https://www.fit.vut.cz/study/thesis/19260/
BibTeX 
@bachelorsthesis{FITBT19260,
    author = "Radek Pazderka",
    type = "Bachelor's thesis",
    title = "Rozpozn\'{a}v\'{a}n\'{i} CAPTCHA k\'{o}d\r{u}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/19260/"
}

Theses

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