一种基于二值特征的书画鉴证方法

he rapid development of computer vision technology makes computer-aided painting assurance possible.The goal of this paper is to study painting assurance by binary-feature-based image matching.With feature-based matching technique, we match the recorded and current images of the artwork, to judge whether these two sets of images come from the same artwork or not.Painting assurance based on handheld and platform imaging device, means to sample the painting with platform when records, and to identify based on the images of poor quality from handheld device.Because the images from handheld device are of low quality, normal methods cannot get a satisfactory matching result.This paper proposes an assurance method with ORB feature and BRISK feature. Experimental results show that the multi-feature fusion method can solve the matching problem of images of different quality, and the painting assurance result is of high reliability.