Copy-Move Image Forgery Detection Based on Center-Symmetric Local Binary Pattern

This paper presents a method to detect copy-move image forgery using CS-LBP (centre symmetric local binary pattern), an extension of basic local binary pattern. In the proposed method, firstly gray level conversion is performed on the given image. Later, the image will be decomposed into fixed sized nonoverlapping blocks. Feature extraction can be done using CSLBP, as this technique is invariant to illumination and rotation. Then distance between the extracted feature vectors is calculated and are sorted lexicographically, and retained only those pairs of blocks that have minimal distances between them. Those minimal distances compared with predefined threshold value serve as the purpose of the copied regions. In the end, post-processing is done using morphological operation and mask is generated for the region detected as forged region.