Identity Documents Classification as an Image Classification Problem

Ronan Sicre, Ahmad Montaser Awal, Teddy Furon

Abstract: This paper studies the classification of identification documents, which is a critical issue in various security contexts. We address this challenge as an application of image classification, a problematic that received a large attention from the scientific community. Several methods are evaluated and we report results allowing a better understanding of the specificity of identification documents. We are especially interested in deep learning approaches, showing good transfer capabilities and high performances.