Open AccessCAPTCHA recognition based on a generative-adversarial network
Author(s) -
А. В. Парфенов,
Peter Sychov
Publication year - 2020
Publication title -
sistemnyj analiz v nauke i obrazovanii
Language(s) - English
Resource type - Journals
ISSN - 2071-9612
DOI - 10.37005/2071-9612-2020-2-40-48
Subject(s) - captcha , computer science , adversarial system , artificial intelligence , generative grammar , generative adversarial network , process (computing) , deep learning , architecture , machine learning , art , visual arts , operating system
CAPTCHA recognition is certainly not a new research topic. Over the past decade, researchers have demonstrated various ways to automatically recognize text-based CAPTCHAs. However, in such methods, the recognition setup requires a large participation of experts and carries a laborious process of collecting and marking data. This article presents a general, low-cost, but effective approach to automatically solving text-based CAPTCHAs based on deep learning. This approach is based on the architecture of a generative-competitive network, which will significantly reduce the number of real required CAPTCHAs.