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Deep Learning Algorithms for Arabic Optical Character Recognition: A Survey
2024
Multicriteria Algorithms with Applications
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In this article, a summary and comparison of the most significant techniques of deep learning that are used in the recognition of Arabic-adapted scripts like Arabic and Urdu have been provided. ...
Within the area of pattern recognition and computer vision, the procedure of handwritten character recognition is still considered to be one of the most challenging. ...
| Long Short-Term Memory (LSTM) In [28], the performance of 1D and 2D LSTM architectures for recognizing handwritten Arabic is compared. ...
doi:10.61356/j.mawa.2024.26861
fatcat:zimukmihp5gp5dj3jur5l2h7ue
KOHTD: Kazakh Offline Handwritten Text Dataset
[article]
2021
arXiv
pre-print
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Also, we proposed a Genetic Algorithm (GA) for line and word segmentation based on random enumeration of a parameter. The dataset and GA code are available at https://github.com/abdoelsayed2016/KOHTD. ...
We used a variety of popular text recognition methods for word and line recognition in our studies, including CTC-based and attention-based methods. The findings demonstrate KOHTD's diversity. ...
This work was funded by the Ministry of Education and Science of the Republic of Kazakhstan (Grant No AP05135175) ...
arXiv:2110.04075v1
fatcat:co3du7yvdfbj3g4s47qo76aqj4
A Sequential Handwriting Recognition Model Based on a Dynamically Configurable CRNN
2021
Sensors
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Handwriting recognition refers to recognizing a handwritten input that includes character(s) or digit(s) based on an image. ...
We conducted our experiments on two well-known datasets, IAM and IFN/ENIT, which include both the Arabic and English languages. ...
Additionally, we implemented a neuroevolutionary CRNN based on the genetic algorithm for comparison purposes. Furthermore, we investigated two solution encoding techniques for the genetic algorithm. ...
doi:10.3390/s21217306
pmid:34770612
pmcid:PMC8587523
fatcat:o2umjghgcvccrb7g3tonz4nf34
Urdu Ligature Recognition System: An Evolutionary Approach
2021
Computers Materials & Continua
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The proposed Urdu ligature recognition system uses a genetic algorithm for optimization and recognition. ...
Cursive text recognition of Arabic script-based languages like Urdu is extremely complicated due to its diverse and complex characteristics. ...
Genetic algorithm and visual coding were also used for online handwriting recognition of Arabic script by Kherallah et al. [60] . ...
doi:10.32604/cmc.2020.013715
fatcat:w7bgzlatbjeu3efblcn2wiyoea
Writing Order Recovery in Complex and Long Static Handwriting
2021
International Journal of Interactive Multimedia and Artificial Intelligence
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However, there is still no general approach for recovering the trajectory of complex and long handwriting from static images. ...
Once the stability and sensitivity of the system is analyzed, we describe a series of experiments with three publicly available databases, showing competitive results in all cases. ...
of Education, University and Research within the PRIN2015 -Handwriting Analysis against Neuromuscular Disease -HAND Project under Grant H96J16000820001. ...
doi:10.9781/ijimai.2021.04.003
fatcat:27ch7cdao5fbxdpm7hgfjobfhu
A Genetic-LVQ neural networks approach for handwritten Arabic character recognition
2018
Artificial intelligence research
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In this paper we present a novel Arabic character handwritten recognition system based on a hybrid method consisting of a genetic algorithm and a Learning vector quantization (LVQ) neural network. ...
Many smart devices available in the market such as pen-based computers, tablets, mobiles with handwritten recognition technology need to rely on efficient handwritten recognition systems. ...
ACKNOWLEDGEMENTS This research project was supported by a grant from the "Research Centre of the Female Scientific and Medical Colleges", Deanship of Scientific Research, King Saud University. ...
doi:10.5430/air.v7n2p43
fatcat:6pyc77bmfncfpgctzyrwseu45u
Reading Systems: An Introduction to Digital Document Processing
[chapter]
2007
Advances in Pattern Recognition
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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. ...
Whereas on-line handwriting recognition usually goes along with higher recognition rates than is the case in off-line handwriting recognition and techniques may even address writer dependence, the on-line ...
doi:10.1007/978-1-84628-726-8_1
fatcat:o5m3enb2ezapnkpuxktssjokqq
HANDWRITING TEXT RECOGNITION USING NEURAL NETWORK
2022
International Research Journal of Modernization in Engineering Technology and Science
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Hence using this complete system one can pass an image containing text, have it recognized by the computer and also be read out to the user. ...
People who suffer from low vision, sight and visual impairments, who are not able to see words and letters in ordinary newsprint, books and notes were the ones this proposal was meant to help. ...
Algorithms for pre-processing and word recognition and performance with practical systems are also mentioned. ...
doi:10.56726/irjmets29660
fatcat:qf3vsnkrsnbc3mydkrbadhn5d4
A Review on Feature Extraction and Feature Selection for Handwritten Character Recognition
2015
International Journal of Advanced Computer Science and Applications
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The development of handwriting character recognition (HCR) is an interesting area in pattern recognition. ...
HCR system consists of a number of stages which are preprocessing, feature extraction, classification and followed by the actual recognition. ...
The off-line character recognition is more complex and requires more research compared to on-line character recognition. ...
doi:10.14569/ijacsa.2015.060230
fatcat:kaevu3rdnvehll5de7phax4u7e
Online Handwritten Arabic Scripts Recognition Using Stroke-Based Class Labeling Scheme
2020
International Journal of Computational Intelligence Systems
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In this paper, we set forward a new method for online handwritten Arabic scripts recognition. ...
Departing from the assumption that handwritten scripts are encoded as a set of strokes, the proposed approach relies first upon classifying strokes contained on the script and then recognizes the whole ...
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
Genetic Algorithms for Perceptual Codes Extraction
2012
Journal of Intelligent Learning Systems and Applications
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In this work a new technique for global perceptual codes (GPCs) extraction using genetic algorithms (GA) is presented. ...
The GPCs can be formed by many possible combinations of EPCs depending on their number and types. ...
So, word recognition implies the process of visual information, and its representation at the linguistic level. ...
doi:10.4236/jilsa.2012.44026
fatcat:7j37coxrl5htracj7i4acoz6ca
Gradient-based approach to offline text-independent Persian writer identification
2019
IET Biometrics
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Handwritten biometric recognition (writer identification) is a process of identifying the author of a given handwriting. This process belongs to behavioural biometric systems. ...
The system was evaluated on the segmented and collected database, and displayed absolutely correct results on many of the strokes. ...
A hybrid method based on the presence of redundant patterns and visual attributes (based on curvature and orientation) is suggested in [7] . ...
doi:10.1049/iet-bmt.2018.5117
fatcat:h5acd64ut5bnvlax26ihynzqcm
Derin Öğrenme Araştırma Alanlarının Literatür Taraması
2019
Gazi Mühendislik Bilimleri Dergisi
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In the last decade, the-state-of-the-art studies on many research areas such as computer vision, object recognition, speech recognition, and natural language processing were especially led to the awakening ...
, voice and video recognition, medical image processing, and big data. ...
[120] used LSTMs on three different handwriting datasets which contain French, English and Arabic text. ...
doi:10.30855/gmbd.2019.03.01
fatcat:2sv7dg7elrfqppcjx5otzmb7pi
Manuscripts Image Retrieval Using Deep Learning Incorporating a Variety of Fusion Levels
2020
IEEE Access
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accuracy and 98% mean accuracy on the top-10 image retrieval. ...
Extensive experimentation and evaluation of the proposed fusion method on the collected ancient Arabic manuscripts dataset proved its robustness against other stateof-the-art methods recording 99% classification ...
[33] recommended a system for Arabic handwritten recognition that employs a web-based interface to search the text and perform the retrieval. ...
doi:10.1109/access.2020.3010882
fatcat:6nlb4lcca5b3hbnwlfe4qtndle
The ontogeny of visual-motor memory and its importance in handwriting and reading: a developing construct
2014
Proceedings of the Royal Society of London. Biological Sciences
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Humans have evolved a remarkable ability to remember visual shapes and use these representations to generate motor activity (from Palaeolithic cave drawings through Jiahu symbols to cursive handwriting ...
The relationship between VMM and scores on nationally standardized writing assessments were explored with the results showing a clear relationship between these measures, even after controlling for age ...
The authors would also like to thank Emma Corrigan, Anna Hobson, Alice Ramsey, Lauren Sharples and Laura Wardle for their help with data collection, and Karolina Szymkiewicz for her help with figure production ...
doi:10.1098/rspb.2014.0896
pmid:25429010
pmcid:PMC4262155
fatcat:4aeazfh32vflnnnehraey4hg2i
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