Spam image classification model based on Kolmogorov complexity
Qin Zhi-guang · Jisuanji yingyong yanjiu · 2011
To further fight against the wide spread of image spam,this paper first proposed a spam image classification model based on Kolmogorov complexity.It used data compression to classify spam images effectively.Compared with current mainstream classification methods for spam image,the model needed neither text extraction from image,nor the feature definition and feature selection of image.It is a kind of parameter-free classification method.And the effectiveness and robustness of the model are verified through the experiments.Also Kolmogorov complexity is indicated to be promising in spam filtering.