Image Forensic Analysis And Recognition In Copy-Move Using Bag Of Features And Svm
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2019 by IJETT Journal|
|Year of Publication : 2019|
|Authors : R.Bharat Kumar , Ch.V.V.S.Srinivas , Abdul Rahaman Shaik
|DOI : 10.14445/22315381/IJETT-V67I5P201|
MLA Style: R.Bharat Kumar , Ch.V.V.S.Srinivas , Abdul Rahaman Shaik "Image Forensic Analysis And Recognition In Copy-Move Using Bag Of Features And Svm" International Journal of Engineering Trends and Technology 67.5 (2019): 1-6.
APA Style:R.Bharat Kumar , Ch.V.V.S.Srinivas , Abdul Rahaman Shaik (2019). Image Forensic Analysis And Recognition In Copy-Move Using Bag Of Features And Svm International Journal of Engineering Trends and Technology, 67(5), 1-6.
Digital image forgery is a developing issue as the picture could be effectively controlled. Various image processing tools can be forged from digital image forgery. Forging process consists of recompression technique which will erase the traces of existed un-compressed images. The recompressed images are obtained in this proposed system by the process of detection of traces. So the proposed forgery image detection approach will produce periodicity analysis with the double compression effect in spatial domain. Experimental results exhibit that the proposed procedure is performed well on the discovery of fraud limitation.
 Experimental results show that the proposed scheme can achieve much better detection results.
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Digital image forensics; passive forgery detection, discrete cosine transform (DCT), Speeded up Robust Features (SURF), spatial and colour rich model (SCRM)