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A review on handwritten character and numeral recognition for Roman, Arabic, Chinese and Indian scripts
[article]
2013
arXiv
pre-print
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There are a lot of intensive researches on handwritten character recognition (HCR) for almost past four decades. ...
We have summarized most of the published paper from 2005 to recent and also analyzed the various methods in creating a robust HCR system. We also added some future direction of research on HCR. ...
Roman Handwritten Character and Numeral Recognition
B. Arabic Handwritten Character and Numeral Recognition
C. Chinese Handwritten Character and Numeral Recognition
D. ...
arXiv:1308.4902v1
fatcat:lvkxj3fxhjdsvkjy5hfujp7mpm
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)
[article]
2020
arXiv
pre-print
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Given the ubiquity of handwritten documents in human transactions, Optical Character Recognition (OCR) of documents have invaluable practical worth. ...
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. ...
Thus, matching / classification is performed with deformed shapes as specific writer could have deformed character in a particular way [36] . ...
arXiv:2001.00139v1
fatcat:p3rdutz35besxfxf7suozt7r2u
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)
2020
IEEE Access
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Given the ubiquity of handwritten documents in human transactions, Optical Character Recognition (OCR) of documents have invaluable practical worth. ...
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. ...
Thus, matching/classification is performed with deformed shapes as a specific writer could have deformed character in a particular way [36] . ...
doi:10.1109/access.2020.3012542
fatcat:f5bfni5kbfhf3i63lvv3t6pena
Enhancing the Power of CNN Using Data Augmentation Techniques for Odia Handwritten Character Recognition
2022
Advances in Multimedia
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NITROHCS v1.0 for handwritten Odia characters and the ISI image database for handwritten Odia numerals are the standard Odia language datasets available for the research community. ...
However, it is a challenging task to get high volume of data in some cases containing enough variety. Handwritten character recognition for Odia language is one of them. ...
CNNs are particularly efective at extracting the various features of handwritten characters and recognizing their structure automatically. ...
doi:10.1155/2022/6180701
fatcat:s23bekcq25gprgjl3kijvszcpa
Synthetic data generation for Indic handwritten text recognition
[article]
2018
arXiv
pre-print
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We experimented using synthetic data to improve the recognition accuracy of isolated characters and words. ...
The framework is tested on 2 Indic scripts - Devanagari (Hindi) and Bengali (Bangla), for numeral, character and word recognition. We have obtained encouraging results from the experiment. ...
Fig. 14 : 14 Examples of handwritten test data (a) Numerals (b) Handwritten Characters
Fig. 15 : 15 Performance evaluation of handwritten characters in (a) Bengali (b) Devanagari scripts. ...
arXiv:1804.06254v1
fatcat:conjxcoii5hmxmx4hfy3uzr5ne
Multiclass Recognition of Offline Handwritten Devanagari Characters using CNN
2020
International journal of mathematical, engineering and management sciences
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The handwriting style of every writer consists of variations, skewness and slanting nature and therefore, it is a stimulating task to recognise these handwritten documents. ...
This article presents a study on various methods available in literature for Devanagari handwritten character recognition and performs its implementation using Convolutional neural network (CNN). ...
International Journal of Mathematical, Engineering and Management Sciences Vol. 5, No. 6, 1429-1439 https://doi.org/10.33889/IJMEMS.2020.5.6.106 ...
doi:10.33889/ijmems.2020.5.6.106
fatcat:fufdvevbyjc7jga62wp5tbnhja
A Survey of Elastic Matching Techniques for Handwritten Character Recognition
2005
IEICE transactions on information and systems
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Several topics around EM, such as the category-dependent deformation tendency of handwritten characters, are also discussed. ...
Thus, by using the EM distance as a discriminant function, recognition systems robust to the deformations of handwritten characters can be realized. ...
Fig. 4 4 Classification of EM techniques employed in handwritten character recognition.
Fig. 5 5 Types of DP-based EM. For each type, a possible 2DW is illustrated as a deformed mesh. ...
doi:10.1093/ietisy/e88-d.8.1781
fatcat:zlcm7bwznvgb7bw4jqbi44dzcq
Handwritten Devnagari Digit Recognition using Fusion of Global and Local Features
2014
International Journal of Computer Applications
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Automatic Recognition of Handwritten Devnagri Numerals is a difficult task, because of the variability in writing style; pen used for writing and the color of handwriting, unlikely the printed character ...
We give our formulation for a ten class classification of handwritten Hindi digit recognition. ...
Optical Character Recognition is a process of automatic recognition of different characters from a document image. ...
doi:10.5120/15464-3628
fatcat:ebhmkepco5ejpo5hy3ji67pory
Handwritten Devanagari Characters and Numeral Recognition using Multi-Region Uniform Local Binary Pattern
2016
International Journal of Multimedia and Ubiquitous Engineering
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The proposed method has been tested on large set of handwritten character and numeral database and empirical results reveals that the proposed method yields very good accuracy (98.77%) . ...
Automated offline handwritten character recognition of Devanagari script is a growing area of research in the field of pattern recognition. ...
In [3] two stage classification approach for handwritten Devanagari characters were. ...
doi:10.14257/ijmue.2016.11.3.37
fatcat:7hrqlh7fyjfvzm4uz4mldty3ai
A Review on Offline Handwritten Recognition of Devnagari Script
2015
International Journal of Computer Applications
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It comprises of Pattern Recognition and Image Processing. Character Recognition is broadly categorized into Optical Character Recognition (OCR) and Handwritten Character Recognition (HCR). ...
Feature extraction and classification are essential steps of character recognition process affecting the overall accuracy of the recognition system. ...
Recognition of handwritten Indian scripts is difficult because of the presence of numerals, vowels, consonants, vowel modifiers and compound characters. ...
doi:10.5120/20669-3300
fatcat:reze23pmevfqnd7ohdhzvbdtwq
Deformed character recognition using convolutional neural networks
2018
International Journal of Engineering & Technology
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It is observed that the performance of the Alex net in classification of printed character samples is reported as 91.3% and with reference to handwritten text, and accuracy of 92% is recorded. ...
In particular, the proposed exper-iment is subject towards the recognition of degraded character images which are extracted from the ancient Kannada poetry documents and also on the handwritten character ...
extending the support possible at each stage of this project. ...
doi:10.14419/ijet.v7i3.14053
fatcat:qo6leftrxrdvrbgcfuqsrtu2vy
Handwritten Character Recognition Using Unsupervised Feature Selection and Multi Support Vector Machine Classifier
2021
International Journal of Intelligent Engineering and Systems
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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. ...
The recognition of Kannada and Arabic characters in the handwritten and printed documents is a difficult process, since the numerals have more angles and curves [9, 10] . ...
doi:10.22266/ijies2021.1231.27
fatcat:yt2cx5qqkbehznb3qmczioicoe
Improving Various Offline Techniques used for Handwritten Character Recognition : A Review
2012
International Journal of Computer Applications
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Handwritten character recognition is always an advanced area of research in the field of image processing and pattern recognition and there is a large demand for OCR on offline hand written documents. ...
There are many paper deals with issues such as hand-printed character and cursive handwritten word recognition which describes recent achievements, difficulties, successes and challenges in all aspects ...
Tested the proposed feature extraction and classification algorithms on the handwritten numeral database and found very good classification recognition rate with minimum training time. ...
doi:10.5120/7726-1136
fatcat:d57h2m4e2vhqliagxxa5bq4ola
Sparse Concept Coded Tetrolet Transform for Unconstrained Odia Character Recognition
[article]
2020
arXiv
pre-print
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Feature representation in the form of spatio-spectral decomposition is one of the robust techniques adopted in automatic handwritten character recognition systems. ...
In this regard, we propose a new image representation approach for unconstrained handwritten alphanumeric characters using sparse concept coded Tetrolets. ...
To address both these concerns, we propose a sparse based space-frequency (Tetrolet) representation of handwritten characters and numerals. ...
arXiv:2004.01551v1
fatcat:paj4fpnatngddmy7eogk6fmfve
A SCRIPT INDEPENDENT APPROACH FOR HANDWRITTEN BILINGUAL KANNADA AND TELUGU DIGITS RECOGNITION
English
2011
International Journal of Machine Intelligence
English
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The KNN and SVM classifiers are employed to classify the Kannada and Telugu handwritten digits independently and achieved average recognition accuracy of 95.50%, 96.22% and 99.83%, 99.80% respectively. ...
For bilingual digit recognition the KNN and SVM classifiers are used and achieved average recognition accuracy of 96.18%, 97.81% respectively. ...
Extensive work has been carried out for recognition of characters and numerals in foreign languages like English, Chinese, Japanese, and Arabic. ...
doi:10.9735/0975-2927.3.3.155-159
fatcat:aqoinutg7fb6hjq6zftumldt6a
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