Detection of Copy-Move Image Forgery Using Local Binary Pattern with Discrete Wavelet Transform and Principle Component Analysis

• Published in: 2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA) pp. 1 - 6
• Main Authors: Jwaid, Mohanad Fadhil, Baraskar, Trupti N.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2017
• Subjects: Copy-Move Forgery; Discrete wavelet transforms; DWT; Fabrication; Feature extraction; Forgery; Image forgery; LBP; PCA; Principal component analysis; Support vector machines; SVM
• DOI: 10.1109/ICCUBEA.2017.8463695

There has been a wide development in the zone of advanced picture usage. One of the fundamental problems in this present reality is to judge the genuineness of a particular picture. These days it is anything but difficult to alter and manufacture computerized picture with the progression of the capable advanced picture handling programming and simple accessibility of the apparatuses. The most widely recognized type of picture control systems is the district duplication additionally called as duplicate move falsification where a segment of the picture is replicated and glue to another part in the same advanced picture. To examine such legal investigation, different procedures and technique have been created in the past writing. In this paper will utilize productive calculations in light of Local Binary Pattern (LBP) with discrete wavelet transform (DWT) and principle component analysis (PCA). Firstly, change the picture from RGB to YCbCr by applying Pre-processing. Secondly, Discrete Wavelet Transform is applied above the image for compression. Guess sub-picture contains low recurrence parts having most extreme data. LL sub-picture is separated in covering squares. Thirdly Local Binary Pattern is performed. Fourthly principle component analysis utilized to match between chunks as feature matching. The latest step is support vector machine (SVM) classify to choice of which slice is the fake.