CAPTCHA design based on moving object recognition problem

Abstract

CAPTCHA is a test that can tell humans and computer programs apart automatically. The aim is to allow the server to identify the visitor is a human or a computer, and only provide services to human. It can improve the current server system and user information security. The static plane visual CAPTCHA based on OCR problems with the advantages of implementation and operation <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</sup> become the mainstream of the current CAPTCHA technology application form. However, with a variety of targeted text segmentation technologies merging, such CAPTCHA based on OCR problems is faced with increasing security threats. In this paper, a new CAPTCHA based on the 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 CAPTCHA generation algorithm based on Edge Mutation. An attacker can log on the test service system, only after he solves the moving object recognition problem. Such animation CAPTCHA will be able to resist the attacks of all the static OCR technology, and resist the mainstream of attacks against the moving object detection.