Document authentication using multi-tier machine learning models

Abstract

Methods and systems are described herein for providing multi-tier machine learning model processing for document authenticity. A document authentication system built based on the current disclosure may rely on a camera to capture an image of a document and use a multi-tiered machine learning infrastructure to identify security features associated with the image of the document and determine based on those features whether the document is authentic. Furthermore, using the disclosed methods and system enable the provider of the machine learning model to improve the document authentication system by training the multi-tier machine learning model based on millions of interactions collected as part of processing. In addition, the document authentication system enables tracking where/when particular instances of documents are scanned. Based on the tracking, the document authentication system may further identify instances of documents that are not authentic.