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 …

Histopathological analysis is the gold standard for cancer diagnosis, but traditional manual
identification methods are time-consuming, labor-intensive, and highly relied on the …

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 …

Modern online services often require mobile devices to convert paper-based information into
its digital counterpart, eg, passport, ownership documents, etc. This process relies on …

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

As digital technologies have advanced more rapidly, the number of paper documents
recently converted into a digital format has exponentially increased. To respond to the …

In recent years, we have witnessed the appearance of consumer applications of Augmented
Reality (AR) available natively on smartphones. More recently, these applications are also …

In the current digital era, organizations primarily interact with their clients and users online.
However, accurately identifying these digital users in the physical realm raises significant …

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 …