Identity theft and fraud are both serious crimes on a rapid rise. In the case of driver's license fraud, a crime is committed when someone else's identity or false documents are used to obtain a drivers license.
Already helping to put an end to this crime in states like Alabama, Colorado, and Kansas is a biometric solution from Digimarc. Today, Digimarc Corporation
, provider of secure identity solutions, announced enhancements to their biometric identification solution. The new version, Digimarc Biometric Identification 2.0, provides tools for license issuers and investigators to aid in the prevention of this crime. The solution is already being used in Massachusetts-- Oregon and Texas both have plans to also implement the solution.
Using facial recognition biometrics, the solution scans the face of those applying for driver's licenses against a database of others in that jurisdiction to ensure they have not already been issued a license or of they are eligible to receive one.
With the solution, investigators are given the ability to rule out fraud in 5 to 10 sec by comparing matches of images in the system.
Utilizing the solution has helped catch minors who obtained another license to buy alcohol, those with revoked or suspended licenses, as well as those who use multiple licenses to evade capture and arrest.
According to a news release
, "Digimarc biometric solutions make 163 billion facial recognition comparisons to filter out and stop thousands of attempts of driver license fraud annually."
"Digimarc was the first company in the industry to offer driver license issuer's facial recognition solutions to ensure that only one license is issued to a driver," said J. Scott Carr, executive vice president, Digimarc in a statement to the press.
"Today, we are pleased to offer a new generation of Biometric Identification products that give driver license issuers, investigators and law enforcement a set of fast, easy-to-use tools to accurately and reliably compare all new applicant portraits with images in the driver license database and catch any attempts at multiple ID fraud," also commented Carr.