This paper analyzes the problems of document image recognition and the existing solutions.
Document recognition algorithms have been studied for quite a long time, but despite this …

Identity documents recognition is an important sub-field of document analysis, which deals
with tasks of robust document detection, type identification, text fields recognition, as well as …

Document image classification plays a vital role in the document image processing system.
Thus it is of great importance to have a clear understanding of the state-of-the-art of the …

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

Identity documents recognition is far beyond classical optical character recognition
problems. Automated ID document recognition systems are tasked not only with the …

The scope of uses of automated document recognition has extended and as a result,
recognition techniques that do not require specialized equipment have become more …

This paper focuses on the computational optimization of RANSAC. We describe the Parallel
Efficient Sample Consensus (PESAC) framework that allows efficient utilization of SIMD …

In this paper, we study the problem of feature points description in the context of document
analysis and template matching. Our study shows that specific training data is required for …

One of the most important tasks related to identity document analysis is to verify its
authenticity. A powerful family of security features of ID documents is optically variable …

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