Diabetes is a chronic disease that affects millions of people in the world. This work has two
objectives:(a) elaboration of a state of the art on the different dynamic systems with …

Tifinagh handwritten character recognition has been a challenging problem due to the
similarity and variability of its alphabets. This paper proposes an optimized convolutional …

Many cloud providers offer very high precision services to exploit Optical Character
Recognition (OCR). However, there is no provider offers Tifinagh Optical Character …

Handwritten characters recognition is a challenging task due to the diversity of writing styles.
In the present paper, a new offline recognition system based on deep convolutional neural …

The normality tests are widely used to estimate the difference between an empirical
distribution and the normal distribution. In this paper, we propose to apply the Jarque–Bera …

“MODI lipi” is one of the Indian ancient scripts and is as yet unrecognized script. It is not in
use today, but it has importance for historical researchers of not only the ancient Maratha …

The increasing of the textual databases and its representation in large spaces prevents the
automation of the treatment of these great masses and the extraction of knowledge. In order …

In the past decade, the fuzzy inference system (FIS) has seen explosive growth in popularity
among the researchers and industrialists. The fuzzy classification system is based on the …

The main objective of this paper is to propose a robust architecture that recognizes Amazigh
language manuscript characters written in Tifinagh. To do so, we proposed first an Extreme …

In this work, we present an end-to-end system devoted to automatic recognition of printed
Amazigh script in complex document images containing different languages such as Web …