Since scanned images are not generated by CFA process

a part of researchers have studied scanned image forensic around sensor pattern noise. A method is proposed to contain the statistical features of the noise image and features derived from EM algorithm for the authenticity of the scanned image. This method generates a total of 63 dimensional feature classified by SVM. By analyzing the evidence effectives and testing a large number of images

the work results show that although scanned images is not generated with CFA process

scanned images also has experienced interpolation on its Fourier spectrum map. Moreover

for the purpose of distinguish between scanned images and other images (CG

DG)

this method achieves the desired results.