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Convolutional ensembles for Arabic Handwritten Character and Digit Recognition

Iam Palatnik de Sousa
2018 PeerJ Computer Science  
A learning algorithm is proposed for the task of Arabic Handwritten Character and Digit recognition. The architecture consists on an ensemble of different Convolutional Neural Networks.  ...  The same algorithm was then trained and tested with the AHCD character dataset, also yielding state of the art validation and testing classification accuracies: 98.60% and 98.42% respectively.  ...  ADDITIONAL INFORMATION AND DECLARATIONS Funding This work was supported by the National Council for Scientific and Technological Development of Brazil, through a PhD scholarship.  ... 
doi:10.7717/peerj-cs.167 pmid:33816820 pmcid:PMC7924465 fatcat:6g6al56adzbqzkqkmxu6vakiau

Deep ensemble neural networks for recognizing isolated Arabic handwritten characters

Haifa Alyahya, Mohamed Maher Ben Ismail, AbdulMalik Al-Salman
2020 ACCENTS Transactions on Image Processing and Computer Vision  
Despite these efforts, there are still opportunities for the development and improvement of the recognition of the handwritten Arabic letters.  ...  Specifically, we adapted ResNet-18 by adding a dropout layer after all convolutional layer and integrated it in multiple ensemble models to automatically recognize isolated handwritten Arabic characters  ...  Khaled Babtain for his support and assistance, as well as to my colleague Dhari Al-Abduh for allowing me to use his computer to train all the models.  ... 
doi:10.19101/tipcv.2020.618051 fatcat:jbt77eaxfrfabc46h6ljfdcloi

Recognition of Handwritten Digits using Convolutional Neural Network and Linear Binary Pattern

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
The proposed model includes Convolutional Neural Network (CNN), a deep learning approach with Linear Binary Pattern (LBP) used for feature extraction.  ...  The human effort can be further more reduced in recognition, learning, predicting and many other areas using machine learning and deep learning.  ...  Here the goal of ensemble learning is not achieved. One of the applications of handwritten digit recognition is in processing the Arabic cheque.  ... 
doi:10.35940/ijitee.a5045.119119 fatcat:eajmmlfsufhx5iu27uycbdeyui

Handwritten Character Recognition Using Unsupervised Feature Selection and Multi Support Vector Machine Classifier

2021 International Journal of Intelligent Engineering and Systems  
In addition, the proposed model obtained 71.79%, and 99.97% of recognition accuracy in Kannada and Arabic handwritten character recognition on a real time dataset and MADbase digits dataset.  ...  In recent times, identifying Kannada, Arabic and English handwritten characters is a challenging task in pattern recognition application.  ...  long short term memory network for Arabic character recognition.  ... 
doi:10.22266/ijies2021.1231.27 fatcat:yt2cx5qqkbehznb3qmczioicoe

Investigating the Various Approaches towards Handwritten Digit Recognition

Prashanth Kambli, Amruthalakshmi
2019 Zenodo  
Pattern recognition plays a vital role due to demand in artificial intelligence in practical problem. One of the problem is, that the machine faced problem in handwritten digit recognition.  ...  This paper describes the different approaches that where followed to recognize the Handwritten digits. And the discussion about the different algorithms used.  ...  CRO is used to increase the accuracy of the handwritten digit recognition and it achieves very well accuracy. For classification they used SVM as classifier algorithm.  ... 
doi:10.5281/zenodo.3365746 fatcat:nmcklahqkvaodblkifvofrtqei

A New Design Based-SVM of the CNN Classifier Architecture with Dropout for Offline Arabic Handwritten Recognition

Mohamed Elleuch, Rania Maalej, Monji Kherallah
2016 Procedia Computer Science  
For this reason, a special care and importance was given from our part to the recognition of intricate Arabic handwritten text.  ...  In this work, the recognition on the handwritten Arabic characters was evaluated; the training and test sets were taken from the HACDB and IFN/ENIT databases.  ...  Many CNN architectures are suggested for different problems among which object recognition [29] and handwriting digit/character recognition [10, 30] .  ... 
doi:10.1016/j.procs.2016.05.512 fatcat:wvh45ov5sbcpnhglwwtr65pxbe

Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR) [article]

Jamshed Memon, Maira Sami, Rizwan Ahmed Khan
2020 arXiv   pre-print
The objective of this review paper is to summarize research that has been conducted on character recognition of handwritten documents and to provide research directions.  ...  Given the ubiquity of handwritten documents in human transactions, Optical Character Recognition (OCR) of documents have invaluable practical worth.  ...  [74, 76] used SVM for recognition of Urdu and Arabic handwritten digits.  ... 
arXiv:2001.00139v1 fatcat:p3rdutz35besxfxf7suozt7r2u

A Hybrid Deep Model for Recognizing Arabic Handwritten Characters

Naseem Alrobah, Saleh Albahli
2021 IEEE Access  
Acknowledgment: We would like to thank the Deanship of Scientific Research, Qassim University for funding the publication of this project.  ...  Mudhsh et al. in [8] proposed a model for Arabic handwritten digits and characters recognition.  ...  De Sousa in [6] proposed two deep CNN-based models, VGG-12 and REGU, for recognizing Arabic Handwritten characters and digits.  ... 
doi:10.1109/access.2021.3087647 fatcat:2ynacbcp35f4zdx5u6rwdp2esy

Neural Network Based Handwritten Character Recognition

Monika, Monika Ingole, Khemutai Tighare
2021 International Journal of Scientific Research in Science and Technology  
In this paper, an endeavor is made to perceive handwritten characters for English letters in order.  ...  The handwritten character acknowledgment issue has become the most well-known issue in AI.  ...  Handwritten digits recognition using ensemble neural networks and ensemble decision tree. In 2017 International Conference The dataset contains 372450 pictures of letter sets of 28×2.  ... 
doi:10.32628/cseit217472 fatcat:plzlxenjtbbk7cswvskxeko74u

Multiple Convolutional Neural Network Training for Bangla Handwritten Numeral Recognition

M.A.H. Akhand, Mahtab Ahmed, M.M. Hafizur Rahman
2016 2016 International Conference on Computer and Communication Engineering (ICCCE)  
In this study, three different CNNs with same architecture are trained with different training sets and combined their decisions for Bangla handwritten numeral recognition.  ...  The progress of handwritten Bangla numeral is well behind Roman, Chinese and Arabic scripts although it is a major language in Indian subcontinent and is the first language of Bangladesh.  ...  Bangla handwritten character recognition using convolutional neural network (2015) I,J, Image, Graphics and Signal Processing(IJIGSP) Author keywords Author Bangla Numeral Convolutional Neural Network  ... 
doi:10.1109/iccce.2016.73 fatcat:buyktyp4ivakdiibn6hg3r3tkq

Classifier Fusion Method to Recognize Handwritten Persian Numerals

Reza Azad, Babak Azad, Iraj Mogharreb, Shahram Jamali
2014 International Journal on Cybernetics & Informatics  
Recognition of Persian handwritten characters has been considered as a significant field of research for the last few years under pattern analysing technique.  ...  In this paper, a new approach for robust handwritten Persian numerals recognition using strong feature set and a classifier fusion method is scrutinized to increase the recognition percentage.  ...  Most of the handwritten character recognition methods for, Arabic, English, and Chinese scripts are reviewed in [1] [2] [3] .  ... 
doi:10.5121/ijci.2014.3301 fatcat:7ojkd5ryuzhhld32l7mmsn77ta

Full depth CNN classifier for handwritten and license plate characters recognition

Mohammed Salemdeeb, Sarp Ertürk
2021 PeerJ Computer Science  
Motivated by the success of CNNs, this paper proposes a simple novel full depth stacked CNN architecture for Latin and Arabic handwritten alphanumeric characters that is also utilized for license plate  ...  The proposed approach is tested on four benchmarks for handwritten character datasets, Fashion-MNIST dataset, public LP character datasets and a newly introduced real LP isolated character dataset.  ...  Table 1 shows example digits of printed Latin, Arabic and handwritten Arabic characters used for numbers as declared in ISO/IEC 8859-6:1999.  ... 
doi:10.7717/peerj-cs.576 fatcat:nk5vwfuvzvcqfbfgh42yw4zkbe

Improved Handwritten Digit Recognition Using Convolutional Neural Networks (CNN)

Savita Ahlawat, Amit Choudhary, Anand Nayyar, Saurabh Singh, Byungun Yoon
2020 Sensors  
Our aim in the proposed work is to explore the various design options like number of layers, stride size, receptive field, kernel size, padding and dilution for CNN-based handwritten digit recognition.  ...  Convolutional neural networks (CNNs) are very effective in perceiving the structure of handwritten characters/words in ways that help in automatic extraction of distinct features and make CNN the most  ...  CNN has shown remarkable abilities in offline handwritten character recognition of Arabic language [39] ; handwritten Tamil character recognition [40] ; Telugu character recognition [41] , handwritten  ... 
doi:10.3390/s20123344 pmid:32545702 fatcat:xxv3sappxzacpnmy6g7kr5p3hy

Arabic Handwritten Alphanumeric Character Recognition Using Very Deep Neural Network

2017 Information  
In this paper, inspired by the success of the very deep state-of-the-art VGGNet, we propose Alphanumeric VGG net for Arabic handwritten alphanumeric character recognition.  ...  The traditional algorithms for recognizing handwritten alphanumeric characters are dependent on hand-designed features.  ...  Acknowledgments: Wuhan University of Technology, School of Computer Science and Technology for supporting this research.  ... 
doi:10.3390/info8030105 fatcat:rmllaguq5vea7ke4wuvksg2gcu

Hierarchical k-Nearest Neighbor with GPUs and a High Performance Cluster: Application to Handwritten Character Recognition

Hubert Cecotti
2017 International journal of pattern recognition and artificial intelligence  
The system is evaluated on the problem of character recognition with nine databases (Arabic digits, Indian digits (Bangla, Devnagari, and Oriya), Bangla characters, Indonesian characters, Arabic characters  ...  , Farsi characters and digits).  ...  Ahmed Bouridane for the HACDB database, the CVL group for their single digit database b , the group of Prof. Karim Faez for the IFHCDB database c , Dr.  ... 
doi:10.1142/s0218001417500057 fatcat:7jsaxsab4raxfcc2dspoawpfcq
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