A Method of Chinese Text Detecting Errors Based on Recognition Errors by OCR

Zhuo Tian; Bai Cheng Li

doi:10.4028/www.scientific.net/AMR.1049-1050.1540

Paper Titles

Research on the Facial Expression Feature Extraction of Facial Expression Recognition Based on MATLAB
p.1522

Using of Downsampling Theory Base on Shannon in Software Radio
p.1526

An Efficient Ear Recognition Method from Two-Dimensional Images
p.1531

Body Sensor Network Processing Mechanism for Micro-Data Security Publishing
p.1536

A Method of Chinese Text Detecting Errors Based on Recognition Errors by OCR
p.1540

Automatic Term Recognition Using Hybrid Method Based on Rewriting and Statistic
p.1544

A Study of Based on Suffix Array Technology to Identify Network Hot Topic
p.1550

Research of Riveting Structure Identification and Characteristic Parameter Analysis Based on SVM
p.1554

A Study of Recognition Algorithms of Large-Scale Image Based on the Fusion of SIFT Features and BP Neutral Network
p.1558

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1049-1050A Method of Chinese Text Detecting Errors Based on...

A Method of Chinese Text Detecting Errors Based on Recognition Errors by OCR

Abstract:

In this paper, we firstly analyzed the features or patterns of recognition errors in the text recognized by OCR.According to the results of Chinese egmentation and combining the analysis of san string, we detected recognition errors that may appear in the text through the application of proofreading rules or calculating Bi-neighborship of the words.At last, the experiment system would be tested and analyzed,and then we get the advantages and disadvantages of the method.

You might also be interested in these eBooks

Modern Technologies in Materials, Mechanics and Intelligent Systems

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 1049-1050)

Pages:

1540-1543

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.1540

Citation:

Cite this paper

Online since:

October 2014

Authors:

Zhuo Tian*, Bai Cheng Li

Keywords:

Bi-Proofreading Rules, Chinese Segmentation, Neighborship, OCR, San String

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Kukich K. Techniques for Automatically Correcting Words in Text, [J]. ACM Computing Surveys, 1992 , 24 (4): 377-439.

DOI: 10.1145/146370.146380

Google Scholar

[2] Zhang Yangsen, Yu Shiwen. Summary of Text Automatic proofreading Technology, [J]. Application Research of Computers, 2006(6), 8-12.

Google Scholar

[3] Wang Weijia, Chen Xiaorong, Qin Jin and Lu Ruzhan. An Automatic Chinese Text Error Correction Approach Based on Window Technology, [J]. Journal of Guizhou University, 2003(20), 161-164.

Google Scholar

[4] Zhang Yangsen, Ding Bingqing. Automatic Errors Detecting of Chinese Texts Based on the Bi-neighborship, [J]. Journal of Chinese Information Processing, 2000(15), 36-43.

Google Scholar

[5] Zhang Yangsen, Ding Bingqing and Long Yifei. A Method of Automatic Error Detecting and Correcting for Spelling English Words--The Skeletal Key Method, [J]. Computer Development &Applications, 1998(12), 9-10.

Google Scholar