Background: Handwriting recognition becomes an appreciable research area because of its
important practical applications, but varieties of writing patterns make automatic …

Accurate handwriting recognition has been a challenging computer vision problem, because
static feature analysis of the text pictures is often inadequate to account for high variance in …

Digit Recognition is essential for interpreting image processing and pattern recognition
since a machine cannot classify handwritten digits. Many real-time applications include OCR …

Deep learning is the domain of machine learning that implements deep neural architectures,
with multiple hidden layers to mimic the functions of the human brain. The network learns …

With the expansion of Artificial Neural Network (ANN), Deep Learning (DL) has brought
interesting turn in the various fields of Artificial Intelligence (AI) by making it smarter and …

This paper aims to determine the efficiency in classifying and recognizing Thai digit
handwritten using convolutional neural networks (CNN). We created a new dataset called …

With the expansion of Artificial Neural Network (ANN), Deep Learning (DL) has brought
interesting turn in the various fields of Artificial Intelligence (AI) by making it smarter and …

An enormous number of CNN classification algorithms have been proposed in the literature.
Nevertheless, in these algorithms, appropriate filter size selection, data preparation …

Recently handwritten digit recognition becomes vital scope and it is appealing many
researchers because of its using in variety of machine learning and computer vision …

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