Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …

There are many applications of the handwritten character recognition (HCR) approach still
exist. Reading postal addresses in various states contains different languages in any union …

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 …

Image fusion plays a significant role in various computer vision applications. However,
designing an efficient image fusion technique is still a challenging task. In this paper, a novel …

In the recent decades, the handwritten character recognition is still a challenging process in
the pattern recognition field. The handwritten digits and characters are not always of the …

Handwritten character recognition is one of the classical problems in the field of image
classification. Supervised learning techniques using deep learning models are highly …

Even though several advances have been made in recent years, handwritten script
recognition is still a challenging task in the pattern recognition domain. This field has gained …

Handwritten characters are still far from being replaced with the digital form. The occurrence
of handwritten text is abundant. With a wide scope, the problem of handwritten letter …

In recent decades, character recognition gained more attention among the researchers, due
to its rapid growth in intelligent mobile terminals and communication technologies. Still …

At first, the Kannada character images are collected via benchmark datasets. After image
collection, it is undergone the feature extraction process. Here, the extraction techniques are …