In recent times, many research projects and experiments target machines that automatically
recognize handwritten characters, but most of them are done in Latin. Recognizing …

Handwriting text recognition for computer systems has been the subject of more and more
research. Recognition of Arabic handwritten text is always an ongoing challenge, mainly …

Handwritten character recognition is a computer-vision-system problem that is still critical
and challenging in many computer-vision tasks. With the increased interest in handwriting …

(IFN/ENIT). Then, we trained the k-nearest neighbor's algorithm (k-NN) algorithm to generate
the best model for each feature extraction descriptor. The best k-NN model, according to …

Being the basis on which several languages of the world are built, the historical relevance of
the basic Arabic characters cannot be overemphasized. Unique in its many similar …

Arabic handwritten script recognition presents an energetic area of study. These types of
recognitions face several obstacles, such as vast open databases, boundless diversity in …

In the last few years, deep learning-based models have made significant inroads into the
field of handwriting recognition. However, deep learning requires the availability of massive …

Writer identification (WI) based on handwritten text structures is typically focused on digital
characteristics, with letters/strokes representing the information acquired from the current …

This paper is aimed at improving the performance of the word recognition system (WRS) of
handwritten Arabic text by extracting features in the frequency domain using the Stationary …

In this paper, we recognize serial numbers on banknotes using deep learning. The samples
used in this paper are digital images which have been preprocessed with data labelling and …