Detail publikace

Recognition of CAPTCHA Characters by Supervised Machine Learning Algorithms

BOŠTÍK, O. KLEČKA, J.

Originální název

Recognition of CAPTCHA Characters by Supervised Machine Learning Algorithms

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The focus of this paper is to compare several common machine learning classi cation algorithms for Optical Character Recognition of CAPTCHA codes. The main part of a research focuses on the comparative study of Neural Networks, k-Nearest Neighbour, Support Vector Machines and Decision Trees implemented in MATLAB Computing environment. Achieved success rates of all analyzed algorithms overcome 89%. The main di erence in results of used algorithms is within the learning times. Based on the data found, it is possible to choose the right algorithm for the particular task.

Klíčová slova

CAPTCHA, OCR, Supervised Learning, Template Matching, Decision Trees, k-NN, SVM, Neural Network

Autoři

BOŠTÍK, O.; KLEČKA, J.

Vydáno

23. 4. 2018

Místo

Ostrava

ISSN

2405-8963

Periodikum

IFAC-PapersOnLine (ELSEVIER)

Ročník

2018

Číslo

15

Stát

Nizozemsko

Strany od

208

Strany do

213

Strany počet

6

BibTex

@inproceedings{BUT147094,
  author="Ondřej {Boštík} and Jan {Klečka}",
  title="Recognition of CAPTCHA Characters by Supervised Machine Learning Algorithms",
  booktitle="15th IFAC Conference on Programmable Devices and Embedded Systems - PDeS 2018",
  year="2018",
  journal="IFAC-PapersOnLine (ELSEVIER)",
  volume="2018",
  number="15",
  pages="208--213",
  address="Ostrava",
  doi="10.1016/j.ifacol.2018.07.155",
  issn="2405-8963"
}