Identity tech firm spins up additional neural network to better detect physical and digital tampering
NEW ORLEANS, LOUISIANA, UNITED STATES, July 9, 2024- IDScan.net, identity tech company and makers of the Digital Identity Verification Engine (DIVE)1 platform, is launching enhanced tamper detection tools to better detect doctored identity documents.
IDScan.net’s identity verification tools include more than 200 AI-powered checks to confirm the legitimacy of an ID or drivers license – these include checks on the barcode format, the ID template, and front/back crossmatch checks, as well as calls to third party databases. With this latest update, DIVE will get a huge boost in its ability to detect IDs which have been altered, either physically or digitally.
Physical tampering includes replacing or manipulating the data or photo on the ID. In some cases, this can be as unsophisticated as taping a different photo onto a stolen ID, or using a sharpie to change information such as name, date of birth, or ID number. Because the manipulation is done in the “real world,” this tampering cannot be detected by examination of the image file.
“Our software has always looked for evidence of tampering, but with rising fraud rates we wanted to make tamper checks a priority.”
— Joshua Sheetz, IDScan.net VP of Engineering
Digital tampering is typically performed using image editing software or scripts, and can result in more seamless and sophisticated imagery. However, editing tools often leave digital fingerprints in the image metadata, which can be examined in real time simultaneously to forensic evaluation of the ID’s legitimacy.
Key improvements:
- Improved metadata inspection looking for multiple elements in the metadata to confirm that the picture is live.
- Image compression checks to look for hallmarks of image manipulation and processing
- Print quality detection and color matching to find physical tampering
- Improved micro-shadow checks to confirm a smooth ID, with no alterations Improved font consistency checks
“Our software has always looked for evidence of tampering, but with rising fraud rates we wanted to make tamper checks a priority,” said IDScan.net Vice President of Engineering, Joshua Sheetz. While new threats such as AI-generated fake ID images2 threaten the KYC processes of major organizations, ID tampering still remains a top threat for any business looking to verify identity remotely. “Tampered IDs still represent a large percentage of fraud seen by banks, and our latest neural network will ensure we can provide the highest level of defense against this type of deception.”
Users of DIVE software will automatically see benefits from the AI-enhancements. New customers are invited to test the improved algorithms during a live demo3.
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