Automatic recognition of handwritten Arabic characters: a comprehensive review
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 …
language especially state-of-the-art approaches to highlight the current status of diverse …
A review on document image analysis techniques directly in the compressed domain
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 …
caused an exponential escalation in the volume of 'Big-data'particularly due to texts, images …
Principal component 2-D long short-term memory for font recognition on single Chinese characters
Chinese character font recognition (CCFR) has received increasing attention as the
intelligent applications based on optical character recognition becomes popular. However …
intelligent applications based on optical character recognition becomes popular. However …
Reduced annotation based on deep active learning for arabic text detection in natural scene images
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 …
and costly at the same time. Consequently, only few small datasets are available for this …
Recognition and classification of handwritten urdu numerals using deep learning techniques
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 …
languages; hence, its character recognition is a huge and difficult task. It is a bidirectional …
Optimized echo state network with intrinsic plasticity for eeg-based emotion recognition
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 …
(RNNs). The Echo State Network (ESN), a type of RC paradigm, has been widely used for …
Evaluation of svm, mlp and gmm classifiers for layout analysis of historical documents
H Wei, M Baechler, F Slimane… - 2013 12th international …, 2013 - ieeexplore.ieee.org
This paper presents a comparison between three classifiers based on Support Vector
Machines, Multi-Layer Perceptrons and Gaussian Mixture Models respectively to detect …
Machines, Multi-Layer Perceptrons and Gaussian Mixture Models respectively to detect …
Adaptive fuzzy exponent cluster ensemble system based feature selection and spectral clustering
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 …
decision making applications. This step had gained great interest and several approaches …
Experimental evaluation of Arabic OCR systems
M Alghamdi, W Teahan - PSU Research Review, 2017 - emerald.com
Purpose The aim of this paper is to experimentally evaluate the effectiveness of the state-of-
the-art printed Arabic text recognition systems to determine open areas for future …
the-art printed Arabic text recognition systems to determine open areas for future …
KAFD Arabic font database
Font recognition is useful for improving optical text recognition systems' accuracy and time,
and to restore the documents' original formats. This paper addresses a need for Arabic font …
and to restore the documents' original formats. This paper addresses a need for Arabic font …