Handwritten Arabic character recognition systems face several challenges, including the
unlimited variation in human handwriting and large public databases. In this work, we model …

Providing computers with the ability to process handwriting is both important and
challenging, since many difficulties (eg, different writing styles, alphabets, languages, etc.) …

Object classification, such as handwritten Arabic character recognition, is a computer vision
application. Deep learning techniques such as convolutional neural networks (CNNs) are …

The handwritten script recognition is one of the most interesting and challenging areas of
pattern recognition due to numerous variations in writing styles. Extensive in-depth research …

In this work, a novel deep learning technique for the recognition of handwritten Bangla
isolated compound character is presented and a new benchmarkof recognition accuracy on …

In ancient times, there was no system to record or document music. A basic notation system
to write European music was formulated around 14th century in the Baroque period which …

Handwritten character recognition is a computer-vision-system problem that is still critical
and challenging in many computer-vision tasks. With the increased interest in handwriting …

Recognition of handwritten characters is a challenging task. Variations in writing styles from
one person to another, as well as for a single individual from time to time, make this task …

Handwritten numeral recognition is a classical and important task in the computer vision
area. We propose two novel deep learning models for this task, which combine the edge …

The handwritten character recognition (HCR) problem has been studied extensively during
the last few decades with varying level of success. Although one of the earliest optical …