基于 OCR 技术的图像验证码识别

验证码是一种标准的网络安全技术，它主要用来防止网民或者黑客等对网站的恶意注册和访问，以及发送垃圾文件、暴力破解高价值密码、滥发广告等恶意事件。通过对图片的扫描，可以提取图片中的数字、字符信息等。本文提出了一种基于OCR技术的图形验证码识别技术。通过对验证码图片进行灰度化、二值化、去噪点、圈点填充、直线填充、图像分割、统一大小、图像匹配和存入字库等一系列的操作，进行对验证码的识别实验。本文通过实验对验证码的特点有了充分的了解，这样方便设计出更加安全的验证码，防止被不法分子破解。

CAPTCHA Identification Based on OCR Technology

CAPTCHA is a standard of network security technology. It is mainly used to prevent Internet users, hackers to have malicious access to websites and other data resources. This paper proposes a graphical verification code recognition technology based on the technology of OCR. The system can identify the CAPTCHA image accurately after a series of operation, such as graying, binarizating, noise-removing, spot filling, straight-line filling, segmenting and unfirming size. In this paper, through fully analyzing and comprehending of verification code, a safer CAPTCHA can be designed to protect the website and data resources＇ safety.