基于马尔科夫场网络验证码识别图像分割

CAPTCHA Recognition Based on Markov field

验证码图片是国内网站区别人机不同的重要手段。验证码的设计和使用安全性和互联网安全密切相关。为了减少网络验证码的识别的不确定性和模糊性对图像分割的影响,就需要充分利用图像的上下文信息。马尔科夫随机场[1,2]正是一种充分利用了上下文信息[3,4]的随机场模型。利用这一理论,实验结果表明,使用中的验证码具有良好的分割效果。

CAPTCHA image is the major technique use by forums to tell humans and computers apart, so that its security is of importance in internet usage. To decrease uncertain recognition of CAPTCHA, we need to use the all info of the picture. Markov field[1,2]is a random model of using the whole info of the picture[3,4]. With using this theory,we can find out that CAPTCHA have a good Image segementation.