| Title | Digital Character CAPTCHA Recognition Using Convolution Network |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Cao, Yu |
| Conference Name | 2021 2nd International Conference on Computing and Data Science (CDS) |
| Date Published | jan |
| Keywords | CAPTCHA, captchas, classification, CNN, composability, computer version, convolutional neural networks, Deep Learning, Human Behavior, image recognition, Image resolution, Interference, Knowledge engineering, Libraries, machine learning, pubcrawl, recognition, Training |
| Abstract | Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is a type of automatic program to determine whether the user is human or not. The most common type of CAPTCHA is a kind of message interpretation by twisting the letters and adding slight noises in the background, plays a role of verification code. In this paper, we will introduce the basis of Convolutional Neural Network first. Then based on the handwritten digit recognition using CNN, we will develop a network for CAPTCHA image recognition. |
| DOI | 10.1109/CDS52072.2021.00029 |
| Citation Key | cao_digital_2021 |
Digital Character CAPTCHA Recognition Using Convolution Network