• Tanush Shekharappa Gouda
• M Ravishankar
• Dinesha H A

Convolutional Neural Networks (CNNs) are used for the image processing applications such as image segmentation, classification, detection, image context and retrieval related tasks. The topology of CNN typically consists of different filters and fully connected layers with non linear processing units for image classification and recognition. It helps to exploit the spatial or temporal correlation in the underlying data. In this paper, the image forgery detection through experiments on different CNN or DL architectures and ML algorithms.

Image Forgery Detection, Machine Learning Algorithms, Deep Learning, CNN, SVM, ANN

"IMAGE FORGERY DETECTION USING MACHINE LEARNING ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.k310-k318, May-2023, Available :http://www.jetir.org/papers/JETIR2305A42.pdf

"IMAGE FORGERY DETECTION USING MACHINE LEARNING ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppk310-k318, May-2023, Available at : http://www.jetir.org/papers/JETIR2305A42.pdf