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The Recognition of CAPTCHA Based on Fuzzy Matching
Zhang, Haiying ; Wen, Xuan ; Zhang HY(张海英) ; Wen X(温玄)
2014
关键词Adhesion Codes (symbols) Electronic mail filters Intelligent systems Knowledge engineering Masks Network security Websites
英文摘要Conference Name:8th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2013. Conference Address: Shenzhen, China. Time:November 20, 2013 - November 23, 2013.; Chinese Academy of Sciences; Science in China Press; Shenzhen University; CAPTCHA is a completely automated public Turing test which has been broadly adopted to enhance the website security and strengthen its attack resistance ability. The research of recognition technology of CAPTCHA has a great benefit for increasing the machine learning ability and aiding to designing high security code. The work in this paper focuses on the most difficult adhesion code in picture. At present, the traditional methods which depend heavily on segmentation will become invalid for most adhesion picture code. To resolve the problem, an integrated recognition algorithm based on mask matching is presented in this paper. The recognition of picture code is completed regardless of segmentation and noise removal beforehand. Especially, the matching degree is controlled by a fuzzy factor which can be adjusted automatically to meet with the picture code. During mask creation, two kinds of methods are provided. Finally, a series of experiments from different websites demonstrate that the algorithm can crack all kinds of picture codes and has a satisfied performance in time and popularity. ? Springer-Verlag Berlin Heidelberg 2014.
语种英语
出处http://dx.doi.org/10.1007/978-3-642-54924-3_71
出版者Springer Verlag
内容类型其他
源URL[http://dspace.xmu.edu.cn/handle/2288/85836]  
专题软件学院-会议论文
推荐引用方式
GB/T 7714
Zhang, Haiying,Wen, Xuan,Zhang HY,et al. The Recognition of CAPTCHA Based on Fuzzy Matching. 2014-01-01.
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