Abstract Multi-Source Information Fusion (MSIF), as a comprehensive interdisciplinary field
based on modern information technology, has gained significant research value and …

Given the prevalence of handwritten documents in human interactions, optical character
recognition (OCR) for documents holds immense practical value. OCR is a field that …

Accurate tooth segmentation and numbering are the cornerstones of efficient automatic
dental diagnosis and treatment. In this paper, a multitask learning architecture has been …

Interest in the application of deep learning in cryptography has increased immensely in
recent years. Several works have shown that such attacks are not only feasible but, in some …

Text extraction is critical for any analysis in a document processing system. Text extraction is
the process of recognizing text data from an image. The handcrafted elements used by …

Urdu is a widely spoken and narrated language in several South-Asian countries and
communities worldwide. It is relatively hard to recognize Urdu text compared to other …

Drug–drug interactions (DDIs) are a crucial research focus in clinical pharmacology and
public health. DDIs can lead to reduced drug efficacy or increased adverse reactions …

Uyghur text recognition faces several challenges in the field due to the scarcity of publicly
available datasets and the intricate nature of the script characterized by strong ligatures and …

Detecting text location and recognizing them from scene images remains one of the most
challenging and enduring research problems in the field of computer vision. Over the past …

Show-through phenomena have always been a challenging issue in color-document image
processing, which is widely used in various fields such as finance, education, and …