Automatic optical recognition of documents is a traditional function of modern document
processing systems. In this context, recognition represents a complex process which …

Majority of recent papers in the field of image matching introduces universal descriptors for
arbitrary keypoints matching. In this paper we propose a data-driven approach to building a …

RFD-like binary descriptors have been designed to be fast and demonstrate good quality in
image-matching tasks. One of those descriptors, RFDoc, produces state-of-the art results …

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 …

The article is devoted to approaches and methods for analyzing document images, which
were developed and used by scientists of the scientific school of VL Arlazarov to solve …

The initial steps of many computer vision algorithms are local feature extraction and
matching. However, in the problem of recognizing objects in images with complex …