Image Forensic for detecting Splicing Image with Distance Function

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Imam Riadi, Abdul Fadlil, Titi Sari

Imam Riadi, Abdul Fadlil and Titi Sari. Image Forensic for detecting Splicing Image with Distance Function. International Journal of Computer Applications 169(5):6-10, July 2017. BibTeX

	author = {Imam Riadi and Abdul Fadlil and Titi Sari},
	title = {Image Forensic for detecting Splicing Image with Distance Function},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2017},
	volume = {169},
	number = {5},
	month = {Jul},
	year = {2017},
	issn = {0975-8887},
	pages = {6-10},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2017914729},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


In the era of digital image, good editing software allows users to process digital images in an easy way. It is inevitable, which, unfortunately leads to the widespread of image forgery. Hence, an image fraud detection tool is essential to verify the authenticity of a digital image. The rapid growth of digital image manipulation has prompted writers on forensic image to reveal their authenticity. Manipulations are commonly found in image formats such as Joint Photographic Experts Group (JPEG). JPEG is the most common format supported by devices and apps. Therefore, the researchers will analyze measurement of forensic image similarity using distance function method, while image manipulation is used specially on image splicing. The results of this study show that distance function can be 2 different images.


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Image, Forensics, Splicing, Distance Function.