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A Pen Based Intelligent System for Educating Arabic Handwriting

Mohamed Loey
2020 Figshare  
We show how to automate this task,creating a system that checks the handwriting errors such as stroke sequenceerrors, stroke direction error, stroke position error, and extra stroke error.For Arabic handwritten  ...  Handwritten recognition system has been an important area due to its applications in severalfields such as optical character recognition, license Plate recognition, etc.This work is focusing on the recognition  ...  systems allow to the children to practice writing in a guided method and on-line.  ... 
doi:10.6084/m9.figshare.12249056.v1 fatcat:xro3pxjfi5hutpaxrsqz2slt2i

A Tool to Develop Arabic Handwriting Recognition System Using Genetic Approach

Aljuaid
2010 Journal of Computer Science  
Approach: This study presented a complete system to recognize off-line Arabic handwriting image and Arabic handwriting and printed text database AHPD-UTM that used to implement and test the system.  ...  Up until now, Arabic handwriting recognition systems have been limited to small and medium vocabulary applications, since most of them often rely on a database during the recognition process.  ...  CONCLUSION This study shows that the Arabic database AHPD-UTM is possible to obtain interesting off-line Arabic handwriting recognition rate.  ... 
doi:10.3844/jcssp.2010.619.624 fatcat:gjzsmj6yizcrzcob2chh7d7ni4

Arabic handwriting recognition system using convolutional neural network

Najwa Altwaijry, Isra Al-Turaiki
2020 Neural computing & applications (Print)  
Automatic handwriting recognition is an important component for many applications in various fields. It is a challenging problem that has received a lot of attention in the past three decades.  ...  Research has focused on the recognition of Latin languages' handwriting. Fewer studies have been done for the Arabic language.  ...  Thus, a system trained on adult handwriting is unlikely to work as well if children were to use the system.  ... 
doi:10.1007/s00521-020-05070-8 fatcat:5jkqvdtzgfb7zeirg5ysfxq2xi

The QCRI Recognition System for Handwritten Arabic [chapter]

Felix Stahlberg, Stephan Vogel
2015 Lecture Notes in Computer Science  
This paper describes our recognition system for handwritten Arabic. We propose novel text line image normalization procedures and a new feature extraction method.  ...  On the KHATT corpus, we report 11% relative improvement compared to the best system in the literature.  ...  Introduction Offline handwriting recognition (HWR) refers to the conversion of handwritings in a scanned image to machine-encoded text.  ... 
doi:10.1007/978-3-319-23234-8_26 fatcat:i5tvmxmlmbbxhcrldhwjsmdvfu

Neural Probabilistic System for Text Recognition [article]

Najoua Rahal and Maroua Tounsi and Adel M. Alimi
2019 arXiv   pre-print
For features learned quality evaluation, our proposed system was tested on two printed text datasets PKHATT text line images and APTI word images benchmark.  ...  In the present paper, we propose a novel feature extraction model by learning a Bag of Features Framework for text recognition based on Sparse Auto-Encoder.  ...  Acknowledgment The research leading to these results has received funding from the Ministry of Higher Education and Scientific Research of Tunisia under the grant agreement number LR11ES48.  ... 
arXiv:1812.03680v6 fatcat:jhsbm5oiyrcabg75kzapey5foa

Online Fault Detection Approach of Unpredictable Inputs: Application to Handwriting System

Ines Chihi, Mohamed Benrejeb
2018 Complexity  
This paper proposed a real-time fault detection and localization approach applied to handwriting device on the plane.  ...  This approach allows connecting inputs (IEMG signals)/outputs (pen tip coordinates) data as a parametric model for Multi-Inputs Multi-Outputs (MIMO) system.  ...  (a) Movement on the plane (x,y) and EMG signals. (b) IEMG signals. (c) Form. Figure 3 : 3 Damaged Arabic letters due to faulty inputs. (a) Arabic letter, , « HA». (b) Arabic letter, , «SIN » [6].  ... 
doi:10.1155/2018/9789060 fatcat:nenovojzcjdhxgttprw3dmxawi

Reading Systems: An Introduction to Digital Document Processing [chapter]

Lambert Schomaker
2007 Advances in Pattern Recognition  
Subsequently a detailed comparison between the human and the artificial reading system is made. Finally, the chapter provides an overview on the book as a whole.  ...  As an introduction to the area of digital document processing we first take a few steps back and take a look at the purpose of digital document processing.  ...  Chapter 8 New Advances and New Challenges in On-line Handwriting Recognition & Electronic Ink Management, by Eric Anquetil and Guy Lorette On-line handwriting recognition is concerned with the 'live' transform  ... 
doi:10.1007/978-1-84628-726-8_1 fatcat:o5m3enb2ezapnkpuxktssjokqq

HandwrittenText Recognition System for Automatic Reading of Historical Arabic Manuscripts

M. S.Farag
2012 International Journal of Computer Applications  
of related work in handwritten Arabic recognition systems, the second stage discuss the preprocessing methods which contain of filtering, a certain methods will be applied on samples of database images  ...  This paper presents an Arabic handwritten text recognition system for historical Manuscripts using the Matlab software, the paper is composed from number of stages, the first stage giving a short description  ...  This study shows that the Arabic database AHPD-UTM is possible to obtain interesting off-line Arabic handwriting recognition rate.  ... 
doi:10.5120/9754-4383 fatcat:zg7a3lz4zjdqjay7qgnnfunl6u

Online Handwritten Arabic Scripts Recognition Using Stroke-Based Class Labeling Scheme

Rabiaa Zitouni, Hala Bezine, Najet Arous
2020 International Journal of Computational Intelligence Systems  
., that are collected based on a viable interface. In this paper, we set forward a new method for online handwritten Arabic scripts recognition.  ...  The output of this SVM is combined with spatial relation vectors feeding to a second SVM to provide scripts level recognition. The proposed model has been tested on MAYASTROUN dataset.  ...  ACKNOWLEDGMENTS The authors would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the quality of the article  ... 
doi:10.2991/ijcis.d.201024.001 fatcat:tzc3ly7ohvce5lzr32hn32dqf4

A Study on Various Techniques Involved in Gender Prediction System: A Comprehensive Review

Payal Maken, Abhishek Gupta, Manoj Kumar Gupta
2019 Cybernetics and Information Technologies  
Predicting gender on the foundation of handwriting investigation is a very invoking research area. Handwriting analysis also has numerous applications.  ...  It presents a survey of the available methods to solve the discussed problem.  ...  Writers were then asked to write four pages, i.e., first page consists of six handwriting lines in Arabic language of writers imagination, second page consists of three paragraphs to be copied by volunteers  ... 
doi:10.2478/cait-2019-0015 fatcat:wlmoqssvhrgdhjkgcsb2kce3im

Classification and Localization of Arabic Handwritten Text in KHATT Dataset Based on Faster R-CNN

Et. al May Mowaffaq AL-Taee
2023 Power system technology  
Arabic handwriting recognition is an important research area in computer vision. Due to the complexity of the Arabic script, this is an arduous task.  ...  The models will be trained independently to identify words in the text lines and tested using sentences from the (KFUPM Handwritten Arabic TexT) KHATT dataset.  ...  Online systems use sensors to capture data during the writing process, while offline systems rely on images of the user's handwriting taken from a scanner or digital camera.  ... 
doi:10.52783/pst.213 fatcat:tjx7hjai7zcfdmcdvkfqfkxeoi

RWTH OCR: A Large Vocabulary Optical Character Recognition System for Arabic Scripts [chapter]

Philippe Dreuw, David Rybach, Georg Heigold, Hermann Ney
2012 Guide to OCR for Arabic Scripts  
SIEMENS [70] showed how to convert a Latin 2 OCR system to Arabic handwritings.  ...  Unlike cursive writing based on the Latin alphabet, the stan-3 dard Arabic style has substantially different shapes depending on the glyph context. 4 Standard Arabic Unicode character encodings do typically  ...  On the one hand 16 it should be very flexible, to allow for rapid integration of new methods, and on the 17 other hand it has to be efficient, so that new methods can be studied on real-life 18 5 http:  ... 
doi:10.1007/978-1-4471-4072-6_9 fatcat:haxdzanqlffztfxvjdbz6x737i

Ensemble Neural Network in Classifying Handwritten Arabic Numerals

Kathirvalavakumar Thangairulappan, Palaniappan Rathinasamy
2016 Journal of Intelligent Learning Systems and Applications  
A method has been proposed to classify handwritten Arabic numerals in its compressed form using partitioning approach, Leader algorithm and Neural network.  ...  Leaders of clusters of partitions are used to recognize the patterns by Divide and Conquer approach using proposed ensemble neural network.  ...  To meet industry demands, handwritten digit recognition systems must have good accuracy, acceptable classification times, and robustness to variations in handwriting style.  ... 
doi:10.4236/jilsa.2016.81001 fatcat:gnozcdsnfjg4zdxrmsnr6jztf4

Automatic Arabic Hand Written Text Recognition System

Ismael Ahmad Jannoud
2007 American Journal of Applied Sciences  
An Automatic Arabic Hand-Written Text Recognition (AHTR) System is proposed.  ...  Despite of the decent development of the pattern recognition science applications in the last decade of the twentieth century and this century, text recognition remains one of the most important problems  ...  Also, El-Sheikh and Taweel developed an on-line Arabic hand-written character recognition system [2] . Amin and Masini [3] , proposed an off-line recognition of multi-font Arabic text.  ... 
doi:10.3844/ajassp.2007.857.864 fatcat:pjtztapn2rgf5aakgxggdfiyvq

Genetic Algorithms for Perceptual Codes Extraction

Mahmoud Ltaief, Sourour Njah, Hala Bezine, Adel M. Alimi
2012 Journal of Intelligent Learning Systems and Applications  
In this work a new technique for global perceptual codes (GPCs) extraction using genetic algorithms (GA) is presented.  ...  In this technique the GPCs are build from a certain combination of elementary perceptual codes (EPCs) which are provided by the Beta-elliptic model for the generation of complex handwriting movements.  ...  These algorithms encode a potential solution to a specific problem on a single chromosome and apply recombination operators to them so as to preserve critical information.  ... 
doi:10.4236/jilsa.2012.44026 fatcat:7j37coxrl5htracj7i4acoz6ca
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