• Azhar Ashraf Gadoo
• Mir Mohammad Yousuf
• Mamoon Rashid
• Shanu Khare

Since digital camera has become an integral part of our lives in today's world, there is a range of camera on the market that can catch the picture more excellently than technology advancement. This becomes the important part to distinguish the original image with the overwhelming verity of photo splicing. Scientists have taken a considerable approach to defining the image using various parameters and strategies such as Support Vector Machine (SVM) classifier, PRNU comparison, Lens Distortion, (GLCM) Garry-level-co- occurrence matrix, (CFA)color Filter Array and prototype icing tools. Experimental results of these approaches show a good outcome in determining the origin camera of the picture most probably Used for PRNU (Photo response non-uniformity pattern) origin camera recognition.

Digital forensics, Image processing, Image complexity Sensor pattern noise.

"A Survey On Source Camera Identification Using Image Features", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.989-999, December 2018, Available :http://www.jetir.org/papers/JETIREC06123.pdf

"A Survey On Source Camera Identification Using Image Features", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp989-999, December 2018, Available at : http://www.jetir.org/papers/JETIREC06123.pdf