Handwritten digits recognition is an area of machine learning, in which a machine is trained
to identify handwritten digits. One method of achieving this is with decision tree classification …

A container is a gathering of neurons whose action vector speaks to the instantiation
parameters of a particular kind of substance, for example, an item or an article part. We …

Numeral recognition is one of the most indispensable applications in pattern recognition.
Recognizing numerals, written in Indian languages is a demanding problem. Devanagari …

Here, we propose a method for recognition of handwritten English digit utilizing discrete
cosine space-frequency transform known as the Discrete Cosine S-Transform (DCST) …

Abstract Convolution Neural Networks (CNNs) have been successfully used to solve variety
of problems in computer vision and pattern recognition applications. In this paper, we …

Paucity of large curated hand labeled training data forms a major bottleneck in the
deployment of machine learning models in computer vision and other fields. Recent work …

This paper presents a Devnagari Numerical recognition method based on statistical
discriminant functions. 17 geometric features based on pixel connectivity, lines, line …

This paper presents an attempt to solve the challenging problem of Devanagari numeral and
character recognition. It uses structural and geometric features to represent the Devanagari …

The handwritten digit recognition issue turns into one of the well-known issues in machine
learning and computer vision applications. Numerous machine learning methods have been …

Handwriting-based technologies have progressed significantly over the years. Scientists
have worked beyond just recognizing pieces of plain text from paper. With archaeological …