python image forgery detection using md5 and opencv

Title: Python Image Forgery Detection using MD5 and OpenCV
Introduction:
Image forgery detection is a crucial aspect of digital image forensics, helping to identify tampered or manipulated images. In this tutorial, we'll explore a basic image forgery detection technique using the MD5 hash function and OpenCV in Python.
Requirements:
Python installed on your machine.
Install the necessary libraries using the following command:
Basic understanding of Python and image processing.
Code Example:
Explanation:
calculate_md5 function:
image_forgery_detection function:
main function:
Usage:
Note: This basic approach has limitations, and more advanced techniques may be needed for real-world scenarios. Image forgery detection is a complex field, and researchers continually develop more robust methods to handle various types of manipulations.
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