Exploring the Effectiveness of Machine Learning Algorithms in Image Forgery Detection

• DOI: 10.32628/cseit2390669
• Publication Date: 2024-01-11T13:18:08Z
• Authors: Niyati Patel; Premal J.Patel
• Keywords: Realm

This study investigates the efficacy of various machine learning algorithms for detecting image forgery, a prevalent issue in realm digital media manipulation. The research focuses on assessing performance these accurately identifying instances tampering, aiming to contribute valuable insights field forensics. evaluation encompasses diverse set techniques, including but not limited convolutional neural networks (CNNs), support vector machines (SVMs), and decision trees. Through rigorous experimentation comparative analysis, aims discern strengths limitations each algorithm context forgery detection. findings this hold significance enhancing capabilities forensics tools, thereby aiding mitigation fraudulent activities, ensuring integrity visual content digital' domain.