COPY-MOVE FORGERY DETECTION USING ORB AND SIFT DETECTOR

  RAJDEEP KAUR,  AMANDEEP KAUR

Copy-move attack is very frequently used to secrete or hide some information in the digital image for particular purpose and in this attack some part of the original image copied and pasted in the same image. Thus Copy-Move forgery is very important issue and active research area to check the confirmation of the image. In this paper, Copy-move forgery detection using Key-point based methods i.e. SIFT (Scale Invariant Feature Transform) and ORB (Oriented FAST and rotated BRIEF) are implemented. After feature extraction of the test images using SIFT and ORB, two algorithms SVM (Support Vector Machine) and EM (Expectation Maximization) are used to classify the forged and non-forged data. Experimental results are calculated in terms of accuracy, precision, recall and F1. Experimental results show better Performance using ORB with SVM (Support Vector Machine) and ORB with EM (Expectation Maximization) methods in terms of Accuracy, Precision, Recall and F1 than SIFT with EM method.

Keywords- Copy-Move Forgery Detection, SIFT algorithm, ORB algorithm, SVM and EM algorithm

Unique Identification Number - IJEDR1604120
Page Number(s) - 804-813
Pubished in - Volume 4 | Issue 4 | December 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  RAJDEEP KAUR,  AMANDEEP KAUR,   "COPY-MOVE FORGERY DETECTION USING ORB AND SIFT DETECTOR", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 4, pp.804-813, December 2016, Available at :http://www.ijedr.org/papers/IJEDR1604120.pdf