Context Although recognition works on mathematical expressions have been explored for
four decades, the current literature and trends are varied and frequently influenced by …

This study aims to review the latest contributions in Arabic Optical Character Recognition
(OCR) during the last decade, which helps interested researchers know the existing …

Existing techniques for hand-written digit recognition (HDR) rely heavily on the hand-coded
key points and requires prior knowledge. Training an efficient HDR network with these …

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

Handwriting is, eventually, a variation of the printed forms where the characters are little
larger, smaller, angled and deformed than the printed forms. The small changes in …

Quantum computing is an emerging field that can effectively solve several machine learning
problems. The immensely growing data size has begun to create barriers for classical …

This article discusses several classification algorithms of recognizing numbers from
photographic images or with manual input, namely: support vector machine (SVM), K …

The identification of hand-written digits is among the most significant issue in the
applications for pattern detection. In many application such as postal code, check online …

Handwritten documents recognition is a challenging task in the field of pattern recognition. It
has an array of applications wherein recognition of words, alphabets, digits and other …

This paper covers the work done in handwritten digit recognition and the various classifiers
that have been developed. Methods like MLP, SVM, Bayesian networks, and Random …