FB pixel

Accelitas patents document authentication based on wear


Customer identity intelligence company Accelitas has been granted a patent for “document authentication based on expected wear,” which can be applied to a physical document, ID, photograph, barcode, or magnetic stripe.

U.S Patent No. 9,946,865 B2 describes a unique system for enabling authentication with a document, which is itself authenticated partially based on its expected wear or the degree of difference from the last time it was presented. It expands the breadth of features and functionality or a patent previously granted to the company.

“This patent demonstrates our unique approach to document authentication based on AI techniques like machine learning,” said Greg Cote, CEO of Accelitas, Inc. “Our real-time document authentication and identity verification platform adapts to real world conditions, such as the wear or change that identity documents experience through everyday handling or the passage of time. Recognizing that any reliable document authentication solution would need to account for the real-world conditions of those documents, we developed this unique approach to analyzing driver licenses and other identity documents that consumers present when authenticating themselves.”

Accelitas’ Accelerated Insight Platform, which was developed by leveraging the company’s role as physical custodian of fraudulent identity documents confiscated by banks, is designed to learn what identity documents should look like, including security elements and other identifying features. It provides a real-time web service for financial institutions, retailers, and non-bank lenders, ensuring a safe, frictionless experience for their customers, according to the announcement.

Related Posts

Article Topics

 |   | 

Latest Biometrics News


Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

ID16.9 Podcast

Most Read This Week

Featured Company

Biometrics Research

Biometrics White Papers

Biometrics Events

Explaining Biometrics