A Recognition Method of CAPTCHA with Adhesion Character
Hua Huo, Chang Guoqin · International Journal of Future Generation Communication and Networking · 2017
The emergence of CAPTCHA ( Completely Automated Public Turing Test to Tell Computers and Humans Apart )is to better protect the network security ,and the research on recognition of CAPTCHA technology is conducive to expand the design ideas and to improve the loopholes of the original design.In order to improve the recognition rate of CAPTCHA, we proposed a recognition method of CAPTCHA with Adhesion Character, which effectively improves the segmentation quality of adhesive character CAPTCHA in the complex background.First is the based preprocessing of the image and utilize the method of connected area noise reduction to further denoise the image.Then use the projection histogram to cut the adhesion characters and finally neural network training is used to obtain the final recognition results.The method can deal with images with complex background, basically achieve zero noise cuttingand can better cut the adhesion characters, the latter part of the training process is relatively simple.The experimental results show that this method is practical and has higher recognition rate.