AayushiAhlawat/Image-Forgery-Detection

System to detect Copy-Move forgery using Python and machine learning techniques

21
/ 100
Experimental

This system helps verify the authenticity of digital images, especially if you suspect parts of an image have been copied and moved to another area within the same image. You input a digital image, and the system tells you if it detects 'copy-move' forgery. This is useful for anyone who needs to ensure the trustworthiness and originality of visual evidence or content.

No commits in the last 6 months.

Use this if you need to quickly check if a digital image has been tampered with using the 'copy-move' forgery technique and need a high degree of confidence in the image's originality.

Not ideal if you need to detect other types of image manipulation beyond copy-move forgery or require a real-time, high-volume image analysis solution.

digital forensics image verification content authentication evidence integrity media analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 9 / 25

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7

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1

Language

Python

License

Last pushed

Apr 21, 2024

Commits (30d)

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