The demand for on-device document recognition systems increases in conjunction with the
emergence of more strict privacy and security requirements. In such systems, there is no …

This paper presents a generic deep-learning based framework for identity document
verification, which we call CheckSim. We tackle the document verification problem as a …

The growing use of Know Your Customer online services generates a massive flow of
dematerialised personal Identity Documents under variable capturing conditions and …

Identity document (ID) image analysis has become essential for many online services, like
bank account opening or insurance subscription. In recent years, much research has been …

Removing the background in ID Card images is a real challenge for remote verification
systems because many of the re-digitalised images present cluttered backgrounds, poor …

Structured documents analysis and recognition are essential for modern online on-boarding
processes, and document localization is a crucial step to achieve reliable key information …

In this paper, we propose a data-driven approach to training a memory-efficient local feature
descriptor for identity documents location and classification on mobile and embedded …

This paper is devoted to a review of the achievements of the Moscow scientific school of
image recognition, formed under the leadership of Professor Vladimir L'vovich Arlazarov, in …

В работе рассматривается проблемы создания и использования открытых проблемно-
ориентированных пакетов данных для проведения экспериментальных исследований с …

The paper presents a method for detecting false responses of localization and identification
algorithms. The method considers matching image characteristics that cannot be described …