摘要
为了提高验证码识别的效率和准确率,本文使用了一种结合Gibbs随机场和高斯核函数的FCM改进算法,并结合了图像处理、机器学习等技术,解除验证码识别技术应用中的限制。
In order to improve the efficiency and accuracy of CAPTCHA recognition,this paper uses an improved FCM algorithm which is based on Gibbs random field and Gauss kernel function.The improved FCM algorithm,together with image processing technology and other machine learning technology,is used to eliminate the limitations of the application of CAPTCHA recognition technology.
作者
张会奇
ZHANG Huiqi(Department of Information Technology,Xiamen Ocean Vocational College,Xiamen,China,361000)
出处
《福建电脑》
2019年第10期31-33,共3页
Journal of Fujian Computer
基金
厦门海洋职业技术学院育青项目《基于去噪算法的验证码识别技术研究》资助
关键词
图像处理
去噪
机器学习
KNN算法
Image Processing
Denoise
Machine Learning
KNN Algorithm
