Pneumonia is a life-threatening lung infection resulting from several different viral infections.
Identifying and treating pneumonia on chest X-ray images can be difficult due to its similarity …

Money laundering is a profound global problem. Nonetheless, there is little scientific
literature on statistical and machine learning methods for anti-money laundering. In this …

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 …

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

In this paper, we present a new dataset for identity documents (IDs) recognition called MIDV-
LAIT. The main feature of the dataset is the textual fields in Perso-Arabic, Thai, and Indian …

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

Breast tumor segmentation in ultrasound images is fundamental for quantitative analysis
and plays a crucial role in the diagnosis and treatment of breast cancer. Recently, existing …

JPEG 2000 is a popular image compression technique that uses Discrete Wavelet
Transform (DWT) for compression and subsequently provides many rich features for efficient …

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 …

This paper describes the short-term competition on “Components Segmentation Task of
Document Photos” that was prepared in the context of the “16th International Conference on …