Name
Abstract | ||
|---|---|---|
A CAPTCHA is a Turing test to distinguish human users from automated scripts to defend against internet adversarial attacks. As text-based CAPTCHAs (TBC) have become increasingly difficult to solve, image-based CAPTCHAs, and particularly face recognition CAPTCHAs (FRC), offer a chance to overcome TBC limitations. In this paper, we systematically design and implement a practical FRC, informed by psychological findings. We use gray-scale and binary images, which are computationally inexpensive to generate and deploy. Furthermore, our FRC complies with CAPTCHA design guidelines, thereby ensuring its robustness. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2567948.2577321 | WWW (Companion Volume) |
Keywords | Field | DocType |
practical frc,face recognition captcha,tbc limitation,systematically design,recognition captchas,automated script,image-based captchas,text-based captchas,captcha design guideline,frc complies,turing test | Facial recognition system,World Wide Web,Computer science,Turing test,Binary image,Robustness (computer science),CAPTCHA,Reverse Turing test,The Internet,Scripting language | Conference |
Citations | PageRank | References |
2 | 0.37 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Terence Sim | 1 | 2562 | 169.42 |
| Hossein Nejati | 2 | 32 | 5.29 |
| James Chua | 3 | 2 | 0.37 |