Handwritten Arabic character recognition systems face several challenges, including the
unlimited variation in human handwriting and large public databases. In this work, we model …

Handwritten digit recognition (HDR) shows a significant application in the area of
information processing. However, correct recognition of such characters from images is a …

Regional and cultural diversities around the world have given birth to a large number of
writing systems and scripts, which consist of varying character sets. Developing an optimal …

Data charts are widely used in our daily lives, being present in regular media, such as
newspapers, magazines, web pages, books, and many others. In general, a well …

Drowning is one of the top five causes of death for children aged 1–14 worldwide. According
to data from the World Health Organization (WHO), drowning is the third most common …

In this paper we introduce Convolutional Neural Network (CNN) based method for Amharic
character image recognition. We also introduce a dataset for training purposes. The …

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 …

Optical character recognition systems for handwritten Arabic language still face challenges,
owing to high level of ambiguity, complexity and tremendous variations in human writing …

Handwritten recognition is how computer can identify a handwritten character or letter from
document, image or other sources. Recently, many devices provide a feature using …

A new hybrid system of off-line analytical recognition of Arabic handwriting combining a
neural network type multi-layer perceptron (MLP) and hidden Markov models (HMM) is …