The paper is a comprehensive review of the current research trends in the area of Arabic
language especially state-of-the-art approaches to highlight the current status of diverse …

The rapid growth of digital libraries, e-governance, and internet based applications has
caused an exponential escalation in the volume of 'Big-data'particularly due to texts, images …

Chinese character font recognition (CCFR) has received increasing attention as the
intelligent applications based on optical character recognition becomes popular. However …

Providing labeled Arabic text images dataset for scene text detection is inherently difficult
and costly at the same time. Consequently, only few small datasets are available for this …

Urdu is a complex language as it is an amalgam of many South Asian and East Asian
languages; hence, its character recognition is a huge and difficult task. It is a bidirectional …

This paper presents a comparison between three classifiers based on Support Vector
Machines, Multi-Layer Perceptrons and Gaussian Mixture Models respectively to detect …

Reservoir Computing (RC) is a paradigm for efficient training of Recurrent Neural Networks
(RNNs). The Echo State Network (ESN), a type of RC paradigm, has been widely used for …

One of the most recent challenging issues of pattern recognition and artificial intelligence is
Arabic text recognition. This research topic is still a pervasive and unaddressed research …

Handwritten text recognition remains a popular area of research. An analysis of these
techniques is more necessary. This article is practically interested in a bibliographic study on …

Data clustering is an important step which evolves in many pattern recognition problems and
decision making applications. This step had gained great interest and several approaches …