Traditional Chinese painting identification method based on Radon BEMD (bidimensional empirical mode decomposition) transformation

Abstract

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.

Description

technical field [0001] The present invention relates to the technical field of image processing and pattern recognition, and more specifically, relates to a Radon BEMD transformation-based Chinese painting identification method that uses Radon BEMD transformation to extract features of traditional Chinese painting works to realize authenticity identification of Chinese painting works. Background technique [0002] In recent years, image processing and pattern recognition technologies have been widely used in social life, especially the application of face recognition, fingerprint recognition, and voice recognition in criminal investigation and identity authentication, which greatly saves manpower and material resources. However, in the field of art collection and identification, such as painting identification, image processing and pattern recognition techniques have not been fully applied. Art collectors, auction companies, museums and other institutions still mainly rely o...

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Problems solved by technology

However, conventional EMD can only be used for the decomposition of one-dimensional signals in

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