Scanner Source Identification Based on Image Content and Noise Feature
Zhou Chang-hui · Jisuanji gongcheng · 2011
This paper focuses on digital images which are acquired using scanners,and proposes a robust sources identification technology.The method is based on using color features,image quality features,and neighborhood prediction features of scanned image samples.These features are used to design source identification algorithm in the form of a feature vector.Using Support Vector Machine(SVM) to determine the brand or model of scanner used to capture each scanned image.Experimental results demonstrate that the proposed method can effectively identify the correct scanner brands/models with higher accuracy and has better robust,compared with previous methods.