The Ancient Ceramics Identification Methods Based on Non-Linear Support Vector Machines

Abstract

With the ceramics market's developing, the use of image processing and intelligent algorithm is applied to the ancient ceramics recognition and appreciation is one of the most challenging issues in the field of ancient ceramics. Article focuses on selected Ming Qing Dynasty blue and white porcelain as research samples, and explore how to extract the effective image recognition features of ancient ceramics, and to quantify the comparison, given the ancient craft of evaluation index system, and improve the identification of categories of, and appreciation evaluation model to extract special recognition feature, image preprocessing, discussion handwritten the key technology of Chinese character segmentation, feature extraction and classifier design a variety of methods, and non-linear support vector machine analysis method using multiple classifiers based, so that the sample's accuracy greatly improved.