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Implementation of a new dual-watermark color-document tamper detection and recovery tool with high precision of about 99.9%.

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Document Image Tamper Detection And Recovery

Code for this project cannot be disclosed due to research publication and related confidentiality.

Research paper can be found at: Springer Link

Below-Mentioned are samples of results from this project at 50% tamper:

Below-Mentioned are samples of quality analysis performed on the new algorithm:

The UQI (Universal Quality Index) shows that the algorithm is capable of producing precision results as high as 99.9%.

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Implementation of a new dual-watermark color-document tamper detection and recovery tool with high precision of about 99.9%.

python images image-processing documents watermarking

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