The invention discloses a traditional Chinese painting identification method based on
Radon BEMD (bidimensional empirical mode
decomposition) transformation. The method comprises the following steps: authentic works and fake works of a certain traditional Chinese painting painter are collected according to a same resolution to form a painting
library; a small piece with the same length and width and with abundant
brush strokes is collected from each painting so as to form a sample
library; characteristics are extracted from each sample so as to form a characteristic vector
library; a random extractor is used to divide the characteristic vector library into a
training set and a
test set; a plurality of comparably good classification models are trained according to a 0.623 self-service method and a
support vector machine method, and an ROC (
receiver operating characteristic) curve is used as an assessment standard; and an expert ballot method is used to identify the concentrated characteristic vector in a test, and a result is outputted in terms of an identification accuracy. The method of the invention does not require comparing and analyzing a plurality of small contents in the authentic and fake traditional Chinese paintings; and the method can be applied to a wider area and is more operable; in the method, after the
noise and the balance are screened out, the characteristics are extracted to prevent interference caused by the
noise; and the identification accuracy of authentic and fake traditional Chinese painting digital images is improved.