A Novel Method to Recognise Closely Connected CAPTCHA
Nowadays, most of text CAPTCHAs use character connection as a primary means to avoid being recognized. To recognize this kind of CAPTCHA, a new image analysis model, Concept Component Analysis (CCA), is proposed. Based on the approaching idea in Newton’s iteration, this new model is solved by a multi-population genetic algorithm. Compared with traditional image analysis models, such as PCA, components obtained by CCA have obvious concept meanings. Images can be recognized by solely relying on these components, No classifier is needed. CCA has achieved good recognition results in our experiments. Suggestions for securing text recognition CAPTCHAs are also provided based on experiments results.
Human Interactive Proofs (HIPs) Completely Automated Public Turing Test to Tell Computers and Humans Apart (CAPTCHA) Image Processing Concept Component Analysis
Zhang Liang Huang Shuguang Hu Ronggui Tang Heping Shi Zhaoxiang
Hefei Electronic Engineering Institute Hefei, Anhui, China
国际会议
沈阳
英文
620-627
2011-11-22（万方平台首次上网日期，不代表论文的发表时间）