Handwritten character recognition is one of the most challenging problem in the area of
pattern recognition. In addition to different writing style, in Amharic character there is visual …

Handwritten numeral recognition is an interesting area of research in the field of computer
vision and pattern recognition. It plays an important role in postal automation services …

Learning new tasks has always been a challenging problem in robotics. Even though
several approaches have been proposed, from manual programming to learning from …

One of the most fundamental uses of machine learning is the identification of handwritten
digits. There has been a lot of compelling research in this field. Since everyone has different …

Handwritten digit recognition through computer vision is a challenging task. Recently, deep
learning techniques have shown promising success in solving computer vision problems …

This paper presents the development of a Machine learning model through implementation
of two algorithms namely Logistic Regression and Artificial Neural Networks to recognize …

Use a convolutional neural network utilizing a unique pattern layer in place of a K-Nearest
Neighbor to improve handwritten digit identification. I utilized 20 samples for the …

Indian subcontinent is a birthplace of multilingual people where documents such as job
application form, passport, number plate identification and so forth are written in different …

The topographical region which is surrounded by the Indian ocean is known as Indian
subcontinent, and it is the home of certain dominant languages. Among them, Hindi (551 …

Conventional artificial neural networks are unsuccessful in solving the plasticity-stability
dilemma. For a situation where there is real network, this is exposed to regularly varying …