CAPTCHA Design Based on Moving Object Recognition
Lijing Wang · Information Security and Communications Privacy · 2010
CAPTCHA is a test that could automatically tell humans from computer programs. This allows the server to identify that the visitor is a human or a computer, and only to provide services to humans, thus improving the security of current server system and user information. The static plane visual CAPTCHA based on OCR problems and with the advantages of implementation and operation has become the mainstream of the current CAPTCHA technology application. However, with a variety of targeted text segmentation technologies, such a verification code based on OCR problems is faced with increasing security threats. In this paper, a new CAPTCHA based on moving object identification and tracking problems is proposed, which is referred to biological motion vision model. An Innovative single-frame zero-knowledge rule is also put forward to make the code generation algorithm based on Edge mutation. An attacker could log on the test service system only after he solves the moving object recognition problem. Such animation code could be able to resist the attacks of all the static OCR technology, including the mainstream of attacks against the moving object detection.