Captcha recognition based on kohonen maps
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10246966" target="_blank" >RIV/61989100:27240/20:10246966 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-29035-1_29" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-29035-1_29</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-29035-1_29" target="_blank" >10.1007/978-3-030-29035-1_29</a>
Alternative languages
Result language
angličtina
Original language name
Captcha recognition based on kohonen maps
Original language description
CAPTCHA is a security technology commonly used to differentiate between computers and humans. Text-based CAPTCHA is the most widely used method. This paper presents an approach based on the Kohonen maps neural network for recognizing CAPTCHA. This method first preprocesses the given CAPTCHA, segments its characters, extracts character features, and recognizes characters based on the Kohonen maps cluster analysis results. These experimental results show that the proposed method performs well in recognizing CAPTCHA. (C) Springer Nature Switzerland AG 2020.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing. Volume 1035
ISBN
978-3-030-29034-4
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
10
Pages from-to
296-305
Publisher name
Springer
Place of publication
Cham
Event location
Óita
Event date
Sep 5, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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