A Survey on Breaking Technique of Text-Based CAPTCHA. (24th December 2017)

• Record Type: Journal Article
• Authors: Chen, Jun; Luo, Xiangyang; Guo, Yanqing; Zhang, Yi; Gong, Daofu
• Other Names: Qian Zhenxing Academic Editor.
• Is Part Of: Security and communication networks. Volume 2017(2017)
• Publication Date: 2017-12-24
• Subjects: Computer networks -- Security measures -- Periodicals; Computer security -- Periodicals; Cryptography -- Periodicals; 005.805
• DOI: 10.1155/2017/6898617
• Languages: English
• ISSNs: 1939-0114

Abstract

Abstract : The CAPTCHA has become an important issue in multimedia security. Aimed at a commonly used text-based CAPTCHA, this paper outlines some typical methods and summarizes the technological progress in text-based CAPTCHA breaking. First, the paper presents a comprehensive review of recent developments in the text-based CAPTCHA breaking field. Second, a framework of text-based CAPTCHA breaking technique is proposed. And the framework mainly consists of preprocessing, segmentation, combination, recognition, postprocessing, and other modules. Third, the research progress of the technique involved in each module is introduced, and some typical methods of segmentation and recognition are compared and analyzed. Lastly, the paper discusses some problems worth further research.