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An Efficient Character Recognition System for Handwritten Malayalam Characters Based on Intensity Variations
2011
Journal of clean energy technologies
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This paper is a humble attempt for the recognition of handwritten Malayalam (a South Indian Language) characters. In our study we have classified the connected characters into 3 categories. ...
It may not be difficult for them to read any kind of either printed or handwritten characters. ...
INTRODUCTION Optical Character Recognition (OCR) is one of the most challenging areas of image processing and pattern recognition. OCR plays a vital role in creating digital library expanded. ...
doi:10.7763/ijcte.2011.v3.334
fatcat:zpqikfry55gu3cpyww7xzv2mz4
A Survey and Comparative Evaluation of Selected off-line Arabic handwritten Character Recognition Systems
2002
Jurnal Teknologi
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In this study we tried to cover the Optical Character Recognition (OCR) systems used for off-line Arabic Optical Text Recognition (AOTR). We cast some light on the characteristics of Arabic writing. ...
This paper will also present a general concept on the different stages normally followed for handwritten character recognition: preprocessing, segmentation, feature extraction, classification, and post-processing ...
The interesting nature of the optical character recognition, as well as, its importance have created a lot of research orientation in different aspects and gained numerous advances. ...
doi:10.11113/jt.v36.584
fatcat:n3fn7lmbr5exnkrvzygr2ngmlq
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. ...
Optical character recognition is a science that enables to translate various types of documents or images into analyzable, editable and searchable data. ...
This is conceivably not surprising, since the concept of a handwritten character recognition is catching interest of more researcher because of the advancement of the research work in the fields of deep ...
arXiv:2001.00139v1
fatcat:p3rdutz35besxfxf7suozt7r2u
End-to-End Optical Character Recognition for Bengali Handwritten Words
[article]
2021
arXiv
pre-print
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Optical character recognition (OCR) is a process of converting analogue documents into digital using document images. ...
Despite this, very few works are available in case of recognising Bengali words. Among them, most of the works focused on OCR of printed Bengali characters. ...
There are different types of OCR systems, including intelligent word recognition, intelligent character recognition, optical word recognition, optical character recognition, and optical mark recognition ...
arXiv:2105.04020v1
fatcat:h5dzzxbqn5bb5dmgf7a7rgfkuu
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. ...
Optical character recognition is a science that enables to translate various types of documents or images into analyzable, editable and searchable data. ...
This is conceivably not surprising since the concept of handwritten character recognition is catching the interest of more researcher because of the advancement of the research work in the fields of deep ...
doi:10.1109/access.2020.3012542
fatcat:f5bfni5kbfhf3i63lvv3t6pena
A Study on Optical Character Recognition Techniques
2017
International Journal of Computational Science Information Technology and Control Engineering
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The Optical character identification or classification (OCR) and Magnetic Character Recognition (MCR) techniques are generally utilized for the recognition of patterns or alphabets. ...
Earlier exploration going on Optical Character detection or recognition has shown that the In Handwritten text there is no limitation lying on the script technique. ...
INTRODUCTION Optical Character Identification is single of the majority enthralling and demanding areas of pattern recognition with a variety of realistic applications. ...
doi:10.5121/ijcsitce.2017.4101
fatcat:tvyygemmeng7hl7i34w5w34xnm
Extensible System for Optical Character Recognition of Maintenance Documents
2018
Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
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This paper describes a flexible system for converting paper forms into digital documents through Optical Character Recognition (OCR), utilizing open source tools and packages. ...
In the course of maintenance and operations, equipment operators and manufacturers frequently generate large volumes of paper documents. ...
OPTICAL CHARACTER RECOGNITION Optical Character Recognition is the process of converting an image of text into a digital representation of that text. ...
doi:10.36001/phmconf.2018.v10i1.480
fatcat:bribomxkkbfzjnhe4sygmaz65e
An overview of character recognition focused on off-line handwriting
2001
IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
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Special attention is given to the off-line handwriting recognition, since this area requires more research to reach the ultimate goal of machine simulation of human reading. ...
This material serves as a guide and update for the readers, working in the Character Recognition area. First, an overview of CR systems and their evolution over time is presented. ...
Kuzeyhan Ozdemir, who initiated the CR studies and contributed a lot to the progress of this paper, during his MS studies. Thanks are also to Mr. ...
doi:10.1109/5326.941845
fatcat:jb3bjig3p5abtmgjz3bowuhdfu
Performance Comparison of SVM and ANN for Handwritten Devnagari Character Recognition
[article]
2010
arXiv
pre-print
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In this paper, we discuss the characteristics of the some classification methods that have been successfully applied to handwritten Devnagari character recognition and results of SVM and ANNs classification ...
method, applied on Handwritten Devnagari characters. ...
Authors are also thankful to the CVPR Unit, ISI Kolkata for providing the dataset of Handwritten Devnagari Characters. ...
arXiv:1006.5902v1
fatcat:c4z6vz2rq5g3lp6zqbs2fokwlm
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. ...
This paper provides a review of these advances. In a HCR, the set of features plays as main issues, as procedure in choosing the relevant feature that yields minimum classification error. ...
The development of handwriting character recognition (HCR) is an interesting area in pattern recognition or sometimes specifically referred as optical character recognition (OCR), According to Arica and ...
doi:10.14569/ijacsa.2015.060230
fatcat:kaevu3rdnvehll5de7phax4u7e
Dynamic Feature in Complicated Pattern Recognition
1996
IAPR International Workshop on Machine Vision Applications
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An off-line hand\~rittcn Chinese character recognition system is described based on a particular model of Chinese character prototype. ...
The concept of dynamic feature verification is introduced to tolerate variations in handwritten character and filter noise in character image. Our experiments show the methods is effective. ...
Hildcbrandt, Wentai Liu, "Optical recognition of handwritten Chinese characters: advances since 198OW, Pattern noise is difficulty to form the parameters Recognition, Miami Beach, Florida, December 1980 ...
dblp:conf/mva/JiangS96
fatcat:cqod2rvzjbantk4pamuhzmhbrq
A shape analysis model with applications to a character recognition system
1994
IEEE Transactions on Pattern Analysis and Machine Intelligence
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A~s~Q c~-A method for the recognition of multifont printed characters is proposed, giving emphasis to the identification of structural descriptions of character shapes using prototypes. ...
Zndex Terms-Shape distance, graph matching, relative neighborhood graph, broken character recognition, subgraph homeomorphism. ...
Future research includes the extension of the method to deal with handwritten character recognition, and to help in the segmentation process. ...
doi:10.1109/34.277592
fatcat:ry25imzdnbgutnp5u3jzwttxii
Yoruba Language and Numerals' Offline Interpreter Using Morphological and Template Matching
2014
IAES International Journal of Artificial Intelligence (IJ-AI)
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the English numerals in the document to Yoruba numerals.Several Optical Character Reader (OCR) systems had been developed to recognize characters or texts of some languages such as English, Arabic, Japanese ...
In this paper correlation and template matching techniques were used to develop an OCR for the recognition of Yoruba based texts and convert English numerals in the document to Yoruba numerals. ...
The developments in OCR until 1980s suffered from lack of advanced algorithm, powerful computing hardware and optical devices. ...
doi:10.11591/ijai.v3.i2.pp64-72
fatcat:dzy7sm6e2fdbtd3zh6jrj4r2qu
170Wavelet Features based On-line Recognition of Handwritten
2000
Transactions of Visualization Society of Japan
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On-line character recognition systems, usually, extract features like direction, curvature trajectory of the characters, pen-ups, velocity of the pen, etc., from the handwritten characters for recognition ...
This paper reports the details of an on-line character recognition system developed by the authors, for the handwritten characters/words of Kannada, a National language of India, which employs the wavelet ...
.251-257.
6) Thomas ,H., Hildebrandt,
Wentai
Lui:
Optical
Recognition of Handwritten
Chinese characters:
Advances since 1980, Pattern
Recognition , Vol. 26,
No.2 (1993) pp.205-225.
7)
Feature ...
doi:10.3154/jvs.20.1supplement_417
fatcat:2m5iqmjjibd7ncjch7ubbg3qcm
OCR Related Technology Methods
2020
International Journal of Advanced Trends in Computer Science and Engineering
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The technology associated with character recognition has emerged as a vital technology within the era of the fourth historic period. ...
Recently, together with the event of the fourth historic period, character recognition technology has been used as a core technology in many places. ...
Where in we gained knowledge by working under the able leadership of our Head of department Mr. Ashutosh Kumar Rao who helped and supported us in every sphere of our project. ...
doi:10.30534/ijatcse/2020/47932020
fatcat:2heew6swvzd4vk5muewggmviiq
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