• Patel Kinjal Narendra Kumar

The Camera model is used to shoot a picture for solving wide series of forensic problems ,from copyright infraction to owner’s equity. In today’s digital age , the manipulation of image is very simple by digital processing tools and they are widely available. An interesting problem in digital forensics is ,given a digital image , would it be possible to identify the camera model which was used to take the picture. Our goal is to classify camera model used in particular image. To identify camera model we will use intrinsic hardware artifacts and software artifacts which could be used by various machine learning algorithm(Logistic Regression, Support Vector Machine, K-Nearest Neighbors, Random Forest, Perceptron) to identify correct source camera of a image. we will carried out the experiment on dresden image dataset and try to get reasonable accuracy in distinguishing pictures.

Machine Learning, Camera Model Identification, Source image classification, Logistic Regression

"Camera Model Identification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.676-680, April-2019, Available :http://www.jetir.org/papers/JETIR1904D91.pdf

"Camera Model Identification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp676-680, April-2019, Available at : http://www.jetir.org/papers/JETIR1904D91.pdf