• SAFIA NAVEED .S

Capturing photos and images is been popularly especially for women’s who undergo threats by trending technique called morphing. This morphing is nothing simple editing an image flourishing in recent times, owing to the widespread availability of cameras. Images are indispensable in our daily lives because they contain a lot of useful and important information, and it is often required to improve images to obtain additional information if one is required. A variety range of tools are available to improve a image quality; nevertheless, the tools are also frequently used to fake images, resulting in the spread of misinformation, threats, emotional distress, influence public opinions and actions. This increases and develops the severity and frequency of image forgeries, which is now a major source of concern. This action of tampering with images which are either for fun or to give false evidence has also been resulted in a disaster in some of the cases. Forgery is done in such a way that it cannot be determined by the naked human eye. To overcome these consequences there are various types of machine learning algorithms that are to be implemented for a better result. So, these machine learning techniques are used to extract the digital signature i.e. to extract the faked area of the image differentiating whether an image has been manipulated or not and also finds the maximum rate of forgery.

IMAGE FORGERY DETECTION USING INTEGRATED ERROR LEVEL ANALYSIS

"IMAGE FORGERY DETECTION USING INTEGRATED ERROR LEVEL ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.354-360, June-2019, Available :http://www.jetir.org/papers/JETIR1908E50.pdf

"IMAGE FORGERY DETECTION USING INTEGRATED ERROR LEVEL ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp354-360, June-2019, Available at : http://www.jetir.org/papers/JETIR1908E50.pdf