doi: 10.7763/IJFCC.2015.V4.387
Character Image Semantic-Based CAPTCHA
Aziz Barbar
1
,
Anis Ismail
2
- 1 American University of Science & Technology, Beirut, Lebanon.
- 2 University Institute of Technology, Lebanese University, Sidon, Lebanon.
Abstract
CAPTCHA is almost a standard securitytechnology, and has found widespread application incommercial websites. Image recognition CAPTCHAs facesmany potential problems which have not been fully studied. It isdifficult for a small site to acquire a large dictionary of imageswhich an attacker does not have access to and without a meansof automatically acquiring new labeled images, an image basedchallenge does not usually meet the definition of a CAPTCHA.They are either unusable or prone to attacks. In this paper, wepropose the Character Image Semantic (CIS) based CAPTCHAthat will combine both Image and Text into one CAPTCHAwhich will strengthen it and does not make it human solvable.Benchmarks will be discussed after conducting both Usabilityand Security tests with a clear set of results that show theaccuracy of the proposed solution compared to other existingones.
Keywords
- CAPTCHA
- security
- image recognition
- semantics
How to Cite
Aziz Barbar and Anis Ismail, "Character Image Semantic-Based CAPTCHA," International Journal of Future Computer and Communication, vol. 4, no. 3, pp. 211-215, 2015. https://doi.org/ 10.7763/IJFCC.2015.V4.387
Copyright & License
Copyright © 2015 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).