UM
A JAPANESE OCR POST-PROCESSING APPROACH BASED ON DIC TIONARY MATCHING
CHU-YU GUO2; YUAN-YAN TANG2; CHANG-SONG LIU1; JIA DUAN2
2013-10-18
Conference Name2013 International Conference on Wavelet Analysis and Pattern Recognition
Source PublicationInternational Conference on Wavelet Analysis and Pattern Recognition
Pages22-26
Conference Date14-17 July 2013
Conference PlaceTianjin
CountryChina
PublisherIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Abstract

This paper describes a post-processing approach for Japanese character recognition based on dictionary. By the analysis of experimental data in the processing of OCR, we find that some segmentation and recognition results do not conform to the rules of lexical and just generate the character based on the shape. If the fonts of pending recognized characters are similar with the others, it will easily lead to going wrong in the processing of OCR. For these errors we put forward an idea based on the Limited Length Segmentation Matching and the Bayesian Statistical Classifier. Through the above method, most of the font recognized mistakes can be solved. By the experimental results, it can be proved that this method is an effective way to improve the recognized rate of Japanese character. 

KeywordBayesian Theory Dictionary Matching Japanese Character Limited Length Segmentation Ocr
DOIhttps://doi.org/10.1109/ICWAPR.2013.6599286
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications ; Engineering, Electrical & Electronic
WOS IDWOS:000332524100005
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Department of Electronic Engineering, Tsinghua University State Key Laboratory of Intelligent Technology and Systems, Beijing, China
2.Department of Computer and Information Science, Faculty of Science and Technology University of Macau, Macau, China
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
CHU-YU GUO,YUAN-YAN TANG,CHANG-SONG LIU,et al. A JAPANESE OCR POST-PROCESSING APPROACH BASED ON DIC TIONARY MATCHING[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA,2013:22-26.
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