| Title | Doodling Based CAPTCHA Authentication System |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Jadhav, Mohit, Kulkarni, Nupur, Walhekar, Omkar |
| Conference Name | 2021 Asian Conference on Innovation in Technology (ASIANCON) |
| Keywords | attacks, authentication, CAPTCHA, captchas, CNN, composability, Computers, face recognition, generic system, Human Behavior, image, image recognition, Internet, Limiting, machine learning, Portable computers, pubcrawl, Technological innovation, Turing test, video, voice recognition, web security |
| Abstract | CAPTCHA (Completely Automated Public Turing Test to tell Computers and Humans Apart) is a widely used challenge-measures to distinguish humans and computer automated programs apart. Several existing CAPTCHAs are reliable for normal users, whereas visually impaired users face a lot of problems with the CAPTCHA authentication process. CAPTCHAs such as Google reCAPTCHA alternatively provides audio CAPTCHA, but many users find it difficult to decipher due to noise, language barrier, and accent of the audio of the CAPTCHA. Existing CAPTCHA systems lack user satisfaction on smartphones thus limiting its use. Our proposed system potentially solves the problem faced by visually impaired users during the process of CAPTCHA authentication. Also, our system makes the authentication process generic across users as well as platforms. |
| DOI | 10.1109/ASIANCON51346.2021.9544570 |
| Citation Key | jadhav_doodling_2021 |
Doodling Based CAPTCHA Authentication System