Copy-Move Image Forgery Detection Based on Center-SymmetricLocal Binary Pattern
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 4
Abstract
Abstract: This paper presents a method to detect copy-move image forgery using CS-LBP (centre symmetriclocal binary pattern), an extension of basic local binary pattern. In the proposed method, firstly gray levelconversion is performed on the given image. Later, the image will be decomposed into fixed sized nonoverlappingblocks. Feature extraction can be done using CS- LBP, as this technique is invariant to illuminationand rotation. Then distance between the extracted feature vectors is calculated and are sortedlexicographically, and retained only those pairs of blocks that have minimal distances between them. Thoseminimal distances compared with predefined threshold value serve as the purpose of the copied regions. In theend, post-processing is done using morphological operation and mask is generated for the region detected asforged region.
Authors and Affiliations
Vandana Sangwan, , Madan Lal
Keywords
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