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 …

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

This paper considers arbitrary document detection performed on a mobile device. The
classical contour-based approach often fails in cases featuring occlusion, complex …

The increasing use of smartphones for capturing documents in various real-world conditions
has underscored the need for robust document localization technologies. Current …

November The offer of online, automated, and impersonal services demand users to upload
scanned copies of their documents to the organisations. As a consequence of this …

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 …

In cases of digital enrolment via mobile and online services, identity documents (IDs)
verification is critical to efficiently detect forgery and therefore build user trust in the digital …

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

This study aims to validate self-portraits using one-class support vector machine (OCSVM).
To validate accurately, we build a model by combining texture feature extraction methods …