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Evaluation of Randomly Generated Fonts for Bubble Captcha

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU128193" target="_blank" >RIV/00216305:26220/18:PU128193 - isvavai.cz</a>

  • Result on the web

    <a href="https://mendel-journal.org/index.php/mendel/article/view/35/37" target="_blank" >https://mendel-journal.org/index.php/mendel/article/view/35/37</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.13164/mendel.2018.1.143" target="_blank" >10.13164/mendel.2018.1.143</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evaluation of Randomly Generated Fonts for Bubble Captcha

  • Original language description

    A Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA), is the wide-spread concept of systems suited to secure the web services from automated SPAM scripts. The most common CAPTCHA systems benefit from imperfections of Optical Character Recognition algorithms. This paper presents our ongoing work focused on the development of a new CAPTCHA scheme based on a human perception. The goal of this work is to evaluate the usability of randomly generated fonts used in Bubble Captcha scheme with both humans and OCR classifiers.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Mendel Journal series

  • ISSN

    1803-3814

  • e-ISSN

  • Volume of the periodical

    2018

  • Issue of the periodical within the volume

    24

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    8

  • Pages from-to

    143-150

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85072039184