> For the complete documentation index, see [llms.txt](https://cartoonmango-1.gitbook.io/vida-ekyc-integration/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cartoonmango-1.gitbook.io/vida-ekyc-integration/integration-methods/sdk/overview/image-manipulation-detection.md).

# Image Manipulation Detection

VIDA's Image Manipulation Feature employs sophisticated analysis to detect alterations from face swap applications and edited photos. This feature enhances Liveness Detection, combating Face Morph or Face Wrap incidents, especially those crafted with DeepFake technology.

**Algorithm and Scoring**

The feature uses a cutting-edge algorithm to identify changes in photoshopped images or morphed face swap patterns. It generates a liveness score ranging between 0 (maximum liveness) to 1 (minimum liveness) to add a vital secondary defense layer against deep fakes.

**Accuracy and Error Rates:**

* Accuracy Rate: 98.75%
* False Rejected Rate: 1.25%
* False Accepted Rate: 1.25%