Document Type
Article
Publication Date
4-21-2020
Publication Source
IEEE Access
Abstract
CAPTCHA, a short form of “Completely Automated Public Turing test to Tell Computers and Humans Apart”, is a computer program that can generate and grade tests that most humans can pass, but current computer programs cannot. This paper advances research on image-based CAPTCHA by incorporating the object segment collages. We first collect object segments from thousands of images by using our self-developed collection tool. Then, we create an image collage that compiles randomly selected object segments. To increase the difficulty for computer detection algorithms, we embed some features such as noisy background, object segment occlusion and object segment orientation update. We also develop a practical application using the newly proposed Object Segment Collage CAPTCHA. For the evaluation, we measure the accuracy performance of computer vs. human in solving CAPTCHA questions. In addition, we also conduct a user study over different CAPTCHA methods.
Inclusive pages
84230 - 84238
ISBN/ISSN
2169-3536
Publisher
IEEE
Volume
8
Peer Reviewed
true
Keywords
CAPTCHA, object segments, image collages, image processing
Sponsoring Agency
University of Dayton STEM Catalyst Grant
eCommons Citation
Nguyen, Tam V.; Huang, Zhe; Bethini, Saiteja; Ippagunta, Venkata Sai Prasanth; and Phung, Phu H., "Secure Captchas via Object Segment Collages" (2020). Computer Science Faculty Publications. 221.
https://ecommons.udayton.edu/cps_fac_pub/221
Comments
Article is licensed under the Creative Commons Attribution License (CC-BY)