This paper presents a handwritten document recognition system based on the convolutional
neural network technique. In today's world, handwritten document recognition is rapidly …

Parkinson's disease (PD) is a common and progressive neurodegenerative disorder with
motor symptoms and a variety of non-motor symptoms. Experts regularly include handwriting …

With the increasing availability of pen-based user interfaces, we often come upon multiple
data sets of online handwritten scripts such as letters, words, etc., that are collected based …

Compared to traditional biometric systems, in-air signatures are considered more robust and
secure than classical pen paper. A few datasets capturing in-air signatures have been …

The increasing age of our society is connected to a rising number of people suffering from
disorders. One such disorder is Parkinson's disease (PD). Predictions indicate that the …

This paper describes the online Arabic writer identification competition held at ICDAR 2021
Workshop on Arabic and derived Script Analysis and Recognition (ASAR 2021, 4th edition) …

Stroke reconstruction from offline handwriting is an important research field. This article
presents Online Signal Restoration (OSR) using Arabic Handwriting Dhad Dataset …

This paper presents the Online Arabic words recognition competition (OAWRC 2021) held at
ASAR 2021 workshop in conjuction with ICDAR 2021. This competition uses the ADAB …

In this research, we attempt to propose a novel graph-based approach for online
handwritten character recognition. Unlike the most well-known online handwritten …

Facing the increasing fast pace that technological progress is witnessing with the
proliferation of new technologies and the growing touch-based devices, research works on …