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Large-Scale Printed Chinese Character Recognition for ID Cards Using Deep Learning and Few Samples Transfer Learning
2022
Applied Sciences
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In this study, we developed an automatic OCR system designed to identify up to 13,070 large-scale printed Chinese characters by using deep learning neural networks and fine-tuning techniques. ...
With the ongoing advances in deep learning and optical character recognition (OCR) technologies, neural networks designed to perform large-scale classification play an essential role in facilitating OCR ...
Methodology The main objective of this study was the construction of an automatic OCR system designed to identify up to 13,070 large-scale printed Chinese characters using deep learning neural networks ...
doi:10.3390/app12020907
fatcat:xzn6warh4raffkfhxeppn7n3im
SwiftPost — A vision-based fast postal envelope identification system
2009
2009 IEEE International Conference on Systems, Man and Cybernetics
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This paper describes a method of real-time processing of machine-printed Chinese postage envelopes in an automated postal system. ...
The character recognition rate of postal addresses is 98.72%. ...
To evaluate the performance of our system and construct a recognition model in the training phase, a database of machine-printed Chinese characters and a live mail image database were constructed. ...
doi:10.1109/icsmc.2009.5346224
dblp:conf/smc/GaoJ09
fatcat:ty7vbre32rc7jja43mn7a6zyl4
SPEEDING UP CHINESE CHARACTER RECOGNITION IN AN AUTOMATIC DOCUMENT READING SYSTEM
1998
Pattern Recognition
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The system then recognizes all printed Chinese characters between pairs of punctuation marks. The results are then spoken aloud by a speech-synthesis system. ...
In the automatic document reading system, characters and punctuation marks are first extracted from printed document images and sorted according to their positions and the document orientation. ...
An automatic reading system for printed Chinese documents has been successfully implemented. ...
doi:10.1016/s0031-3203(98)00043-0
fatcat:bdrwqmwkjrd25otrbqbcnu7zka
human-machine interface
[chapter]
2000
Computer Science and Communications Dictionary
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categorization, information retrieval, character recognition, and face detection and recognition. ...
From 1991 to 2005, China's High Technology Research and Development Program (HTRDP) sponsored a series of technology evaluations on Chinese information processing and intelligent human-machine interface ...
0.6840
0.4800
0.7040
Table 67 Chinese 67 character recognition evaluations supported by Chinese
863 Program
1991 1992 1994 1995 1997 1998 2003
Printed character
recognition
√
√
√
√
√ ...
doi:10.1007/1-4020-0613-6_8515
fatcat:tpuxzafzlzantksjlax6e2unai
HTRDP evaluations on Chinese information processing and intelligent human-machine interface
2007
Frontiers of Computer Science in China
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categorization, information retrieval, character recognition, and face detection and recognition. ...
From 1991 to 2005, China's High Technology Research and Development Program (HTRDP) sponsored a series of technology evaluations on Chinese information processing and intelligent human-machine interface ...
0.6840
0.4800
0.7040
Table 67 Chinese 67 character recognition evaluations supported by Chinese
863 Program
1991 1992 1994 1995 1997 1998 2003
Printed character
recognition
√
√
√
√
√ ...
doi:10.1007/s11704-007-0007-2
fatcat:wlnyx6n65ze7dkrr3i7wowtwqq
Different approach to designing neural networks for similar handwritten Chinese character recognition
1998
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation
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The input images of Chinese characters are normally preprocessed using different image processing techniques before the main classification in the handwritten Chinese character recognition. ...
The authors proposed a different approach to the system philosophy of solving the handwritten Chinese character recognition problem where no preprocessing is necessary. ...
The handwritten Chinese characters are much more difficult than the automatic recognition of the printed Chinese characters because of the different written styles. ...
doi:10.1117/12.326723
fatcat:ut7koe6i4rgfxi4dwbsxqsarzi
A Review on Optical Character Recognition Techniques
2017
International Journal of Computer Applications
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Various techniques are determined that have been proposed to realize the center of character recognition in an optical character recognition system. ...
This paper presents detailed review in the field of Optical Character Recognition. ...
The grading system is used to evaluate the performance of printed text using various quality measures. ...
doi:10.5120/ijca2017913061
fatcat:dnhnbiv4nzhrpcobkvrkijooiy
Script Recognition—A Review
2010
IEEE Transactions on Pattern Analysis and Machine Intelligence
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In a multi-script, multilingual environment, it is essential to know the script used in writing a document before an appropriate character recognition and document analysis algorithm can be chosen. ...
In view of this, several methods for automatic script identification have been developed so far. They mainly belong to two broad categories -structure-based and visual appearance-based techniques. ...
Later, they proposed an automatic system for identification of Latin, Chinese, Arabic, Devnagari and Bengali textlines in printed documents [29] . ...
doi:10.1109/tpami.2010.30
pmid:20975114
fatcat:3ysyxmflovej5f7gy2z7ogffou
Experimental evaluation of Arabic OCR systems
2017
PSU Research Review
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Design/methodology/approach -This paper describes an experiment to automatically evaluate four well-known Arabic OCR systems using a set of performance metrics. ...
Purpose -The aim of this paper is to experimentally evaluate the effectiveness of the state-of-the-art printed Arabic text recognition systems to determine open areas for future improvements. ...
evaluated Arabic OCR systems in printed Arabic text recognition. ...
doi:10.1108/prr-05-2017-0026
fatcat:cebs257pgncvbnmfgwz3xexdyy
HANDWRITTEN AMHARIC CHARACTER RECOGNITION SYSTEM USING CONVOLUTIONAL NEURAL NETWORKS
2019
E-journal of New World Sciences Academy
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Handwritten Amharic character recognition system becomes a challenging task due to inconsistency of a writer, variability in writing styles of different writers, relatively large number of characters of ...
In order to recognize handwritten Amharic character a novel method based on deep neural networks is used which has recently shown exceptional performance in various pattern recognition and machine learning ...
The performance of our recognition system was evaluated by using the collected dataset discussed earlier. ...
doi:10.12739/nwsa.2019.14.2.1a0433
fatcat:27puhli73zh2fpfd2c2ttvwi3y
Automatic detection and translation of text from natural scenes
2002
IEEE International Conference on Acoustics Speech and Signal Processing
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This system is capable of capturing images, automatically detecting and recognizing text, and translating the text into English. ...
We extend example based machine translation technology for sign translation and present a prototype system for Chinese sign translation. ...
We would also like to thank other members in the Interactive Systems Labs for their inspiring discussions and support. This research is partially supported by DARPA under TIDES project. ...
doi:10.1109/icassp.2002.5745049
dblp:conf/icassp/YangCZZW02
fatcat:a6ief2hyqbaghi4vhtsn6jo3wy
Automatic detection and translation of text from natural scenes
2002
IEEE International Conference on Acoustics Speech and Signal Processing
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This system is capable of capturing images, automatically detecting and recognizing text, and translating the text into English. ...
We extend example based machine translation technology for sign translation and present a prototype system for Chinese sign translation. ...
We would also like to thank other members in the Interactive Systems Labs for their inspiring discussions and support. This research is partially supported by DARPA under TIDES project. ...
doi:10.1109/icassp.2002.1006190
fatcat:ihnz7tdx3bcvtmyglg4rz4qizy
Separating Chinese Character from Noisy Background Using GAN
2021
Wireless Communications and Mobile Computing
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The complex structure of Chinese characters makes it difficult to obtain the goal because of easy loss of fine details and overall structure in reconstructed characters. ...
In particular, our methods achieve better results in terms of Intersection over Union (IoU) and optical character recognition (OCR) accuracy. ...
In the results, we show the visual effect of separating the handwritten part and the printed part, respectively, of four different common Chinese fonts. ...
doi:10.1155/2021/9922017
fatcat:gx4ofxf33rg2lgcun2bdlvmg3m
A Deep Learning Technology based OCR Framework for Recognition Handwritten Expression and Text
2021
Converter
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However it still faces many challenging problems in handwritten text recognition and mathematical expression recognition, such as handwritten Chinese recognition, mixture of printed and handwritten Chinese ...
The second component consists of text recognition and ME recognition models. The final component merges multiple outputs of the second stage into a whole text. ...
DCN performance and our framework performance.
4.4.1 Experiment I
In OCR system, the precision is the important evaluation metric. ...
doi:10.17762/converter.259
fatcat:4j6jbjanvjd5ne5c32me5nfm2e
A Tool for Ground-Truthing Text Lines and Characters in Off-Line Handwritten Chinese Documents
2009
2009 10th International Conference on Document Analysis and Recognition
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We have validated the effectiveness of this tool and have used it for annotating a large number of handwritten Chinese documents. 978-0-7695-3725-2/09 $25.00 ...
The alignment process is formulated as an optimization problem involving candidate character segmentation and recognition. ...
Acknowledgements This work is supported by the National Natural Science Foundation of China (NSFC) under grants no.60775004 and no.60825301. ...
doi:10.1109/icdar.2009.93
dblp:conf/icdar/YinWL09
fatcat:mcjdxnspaze53nhuw4kaeovcpa
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