This paper presents a comprehensive survey of research works on the topic of form
understanding in the context of scanned documents. We delve into recent advancements …

In the current business environment, where the customer is the primary focus, effective
communication between marketing and senior management is vital for success. Effective …

Background In recent years, ophthalmology has emerged as a new frontier in medical
artificial intelligence (AI) with multi-modal AI in ophthalmology garnering significant attention …

Abstract Software-Defined Network (SDN) is an established networking paradigm that
separates the control plane from the data plane. It has central network control, and …

Deep-learning-based image inpainting methods have made remarkable advancements,
particularly in object removal tasks. The removal of face masks has gained significant …

Optical character recognition (OCR) is a vital process that involves the extraction of
handwritten or printed text from scanned or printed images, converting it into a format that …

The integration of artificial intelligence (AI) technologies into identity and access
management (IAM) systems has greatly improved access control and management, offering …

This paper provides a comprehensive overview of the process for information retrieval from
invoices. Invoices serve as proof of purchase and contain important information, including …

We apply pre-trained architectures, originally developed for the ImageNet Large Scale
Visual Recognition Challenge, for periocular recognition. These architectures have demon …

To harness the power of pre-trained image classification models on the extensive ImageNet
dataset, early layers of pre-trained backbones have been used to capture relevant …