A deep learning method for passing completely automated public turing test
Yükleniyor...
Dosyalar
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
CAPTCHAs arc used for separating humans and machines. They arc tests which can be solved by people but not by computers. With deep learning methods, this tests can be passed automatically. The success of Convolutional Neural Networks is related to the dataset size and quality. However, it is difficult to conclude with an inadequate training data. In this study, a convolutional neural network implementation is proposed for resolving CAPTCHAs without any human interaction with images derived from plugin. An active deep learning approach that is capable of retrain the network and present consequences on an auto-generated captcha dataset proposed. Outcomes show that the performance of the network may be significantly improved with the efficaciously classified test sets.
Açıklama
3rd International Conference on Computer Science and Engineering (UBMK) -- SEP 20-23, 2018 -- Sarajevo, BOSNIA & HERCEG
Anahtar Kelimeler
Artificial Intelligence, Captcha, Deep Neural Network, Image Processing
Kaynak
2018 3Rd International Conference On Computer Science And Engineering (Ubmk)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
