Handwriting recognition has become an active area of research in pattern recognition and
machine learning in recent years. Handwriting recognition systems have a variety of …

Offline handwriting recognition in Indian regional scripts is an interesting area of research as
almost 460 million people in India use regional scripts. The nine major Indian regional …

Numeral recognition is considered an essential preliminary step for optical character
recognition, document understanding, and others. Although several handwritten numeral …

Fast and accurately characterizing animal behaviors is crucial for neuroscience research.
Deep learning models are efficiently used in laboratories for behavior analysis. However, it …

Handwritten character recognition is always a frontier area of research in the field of pattern
recognition and image processing and there is a large demand for OCR on hand written …

Handwritten digit and letter recognition is one of the oldest and a very important topic in the
field of pattern recognition. Handwritten digit and letter recognition poses different problem …

The segmentation of handwritten digit strings into isolated digits remains a challenging task.
The difficulty for recognizing handwritten digit strings is related to several factors such as …

The aim of this paper is to implement a Multilayer Perceptron (MLP) Neural Network to
recognize and predict handwritten digits from 0 to 9. A dataset of 5000 samples were …

Optical character recognition (OCR) has been a well-known area of research for last five
decades. This is an important application of pattern recognition in image processing …

This paper describes a system for isolated Kannada handwritten numerals recognition using
image fusion method. Several digital images corresponding to each handwritten numeral …