Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{183388,
        author = {Dr.Rohini Palve and Dr.shudhodhan Bokefode and Dr.varsha Bodade and Dr.Ramesh Shabade and Dr.Kishor Sakure},
        title = {Texture-Based Image Forgery Detection Using Wavelet Transform and Adaptive SVM Optimization},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {1237-1242},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183388},
        abstract = {In the digital era, the integrity of visual content is often compromised due to the increasing accessibility of advanced image editing tools, making image forgery a critical issue in fields such as forensics, journalism, and legal investigations. This paper presents a texture-based image forgery detection framework that leverages Discrete Wavelet Transform (DWT) for robust texture feature extraction and employs an adaptive Support Vector Machine (SVM) optimized through a Bee Scout-inspired met heuristic algorithm. The DWT captures multi-scale texture variations caused by tampering, while the adaptive SVM model enhances classification performance by dynamically tuning hyper parameters based on selected features. Experimental evaluations on a benchmark dataset demonstrate that the proposed method achieves superior accuracy in detecting tampered regions, reflected by higher Peak Signal-to-Noise Ratio (PSNR) and lower False Rejection Rate (FRR) compared to conventional DWT-SVM approaches. This approach provides a scalable and efficient solution for authenticating digital images in real-world forensic applications.},
        keywords = {Image Forgery, Discrete Wavelet Transform, Support Vector Machine, Bee Scout Optimization, Texture Analysis, Digital Forensics},
        month = {August},
        }