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ISSN 2063-5346
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FACE COUNTERFEIT DETECTION IN NATIONAL IDENTITY CARDS USING IMAGE STEGANOGRAPHY

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Senthilkumar K, Dr. Vignesh Ramamoorthy H, Dr. S. Uma Shankari, Dr. R. Nallakumar
» doi: 10.31838/ecb/2023.12.s3.063

Abstract

When we talk about "identity card," we're referring to a government-issued photo ID that can be used as such at least in Germany. Smart to travel documents, electronic IDs, electronic signatures, municipal cards, key cards for accessing protected areas or company infrastructure, social security cards, etc. are just some of the furthermost prevalent uses for smart cards. There are a amount of safeguards included into these documents. Fight the practise of document falsification. Criminal attacks against identity verification systems currently rely on illegally obtaining real documents and modifying facial pictures because these security mechanisms are hard to defeat. Having a system of trusted identities is crucial to any functional society. These governments and identity manufacturers should regularly update and enhance their security protocols to reduce the likelihood of fraud. For this reason, we deliver StegoCard, the first practical steganography approach tailored specifically for photos typically found on standard ID cards. StegoCard is a full-stack facial image steganography model that uses a Deep Convolutional Auto Encoder to create a portrait of a Stego that conceals a message and a Deep Convolutional Auto Decoder to decode the image. Able is the decoder. The Stego image serves as a message decoder. This holds true even if the image was printed out and afterwards digitised. Comparisons of He StegaStamp and StegoCard encoded face photographs show that the latter are of higher perceptual quality. Peak signal-to-noise ratio, concealing power, and inaudibility scores on the test set are used as presentation metrics.

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