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| A Recognition Method for Distorted and Merged Text-Based CAPTCHA |
| YIN Long,YIN Dong,ZHANG Rong,WANG De-Jian |
| School of Information Science and Technology,University of Science and Technology of China,Hefei 230026 |
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Abstract The study of CAPTCHA recognition can discover CAPTCHA security vulnerabilities in time to make it more secure. Distorted and merged CAPTCHA can resist character segmentation,which is the difficult in CAPTCHA recognition. An approach based on DENSE SIFT and RANSAC algorithm is presented for recognition of distorted and merged CAPTCHA. Firstly,matching set is obtained through the matching of DENSE SIFT. Then,matching information is got by using RANSAC algorithm. Finally,recognition results are acquired by means of queue-analysis algorithm. The experimental results show that the proposed method has good performance on CAPTCHAs in different levels of difficulty.
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Received: 19 November 2012
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2014, Vol. 27 
