Feature plays a very important role in the area of image processing. Before getting features,
various image preprocessing techniques like binarization, thresholding, resizing …

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 …

The writing style is a unique characteristic of a human being as it varies from one person to
another. Due to such diversity in writing style, handwritten character recognition (HCR) …

Manuscripts serve as a wealth of knowledge for future generations and are a useful source
of information for locating material from the Middle Ages. Ancient manuscripts can be found …

Automatic text recognition system might serve as an important factor in creating a paperless
environment through digitizing and processing the existing paper documents in the …

Efficient character recognition in ancient handwritten Devanagari documents is crucial for
societal advancements. Challenges such as overlap** characters, missing headlines, and …

Classification methods based on learning from examples have been widely applied to
character recognition from the 1990s and have brought forth significant improvements of …

The scriptDevanagari'is used in many Indian languages. Hindi language is also under
Devanagari script. In this paper recognition of Hindi characters is done by using a three step …

In this paper, we describe hybrid feature extraction for offline handwritten character
recognition. The proposed technique is a hybrid of structural, statistical and correlation …

Tools based on machine learning (ML) have seen widespread application in the prediction
and categorization of mathematical symbols and phrases. The purpose of this work is to …