scholarly journals Online Handwritten Chinese/Japanese Character Recognition

10.5772/51474 ◽  
2012 ◽  
Author(s):  
Bilan Zhu ◽  
Masaki Nakagaw
Keyword(s):  
Character Recognition ◽  
Japanese Character

Printed Japanese Character Recognition Using Multiple Commercial OCRs

2004 ◽  
Vol 8 (2) ◽  
pp. 200-207 ◽  
Author(s):  
Hidetoshi Miyao ◽  
◽  
Yasuaki Nakano ◽  
Atsuhiko Tani ◽  
Hirosato Tabaru ◽  
...  
Keyword(s):  
Character Recognition ◽  
Document Images ◽  
Text Documents ◽  
Matching Algorithm ◽  
Majority Logic ◽  
Character String ◽  
Optical Character ◽  
Japanese Character ◽  
On Line ◽  
Standard Character

This paper proposes two algorithms for maintaining matching between lines and characters in text documents output by multiple commercial optical character readers (OCRs). (1) a line matching algorithm using dynamic programming (DP) matching and (2) a character matching algorithm using character string division and standard character strings. The paper proposes a method that introduces majority logic and reject processing in character recognition. To demonstrate the feasibility of the method, we conducted experiments on line matching recognition for 127 document images using five commercial OCRs. Results demonstrated that the method extracted character areas with more accuracy than a single OCR along with appropriate line matching. The proposed method enhanced recognition from 97.61% provided by a single OCR to 98.83% in experiments using the character matching algorithm and character recognition. This method is expected to be highly useful in correcting locations at which unwanted lines or characters occur or required lines or characters disappear.

Accuracy analysis of Japanese machine translation based on machine learning and image feature retrieval

2020 ◽  
pp. 1-12
Author(s):  
Gang Song
Keyword(s):  
Machine Learning ◽  
Machine Translation ◽  
Character Recognition ◽  
Image Data ◽  
Image Features ◽  
Image Feature ◽  
Learning Technology ◽  
Japanese Character ◽  
Knowledge Support ◽  
Translation Methods

At present, there are still many deficiencies in Chinese-Japanese machine translation methods, the processing of corpus information is not deep enough, and the translation process lacks rich language knowledge support. In particular, the recognition accuracy of Japanese characters is not high. Based on machine learning technology, this study combines image feature retrieval technology to construct a Japanese character recognition model and uses Japanese character features as the algorithm recognition object. Moreover, this study expands image features by generating a brightness enhancement function using a bilateral grid. In order to exclude the influence of the edge and contour of the image scene on the analysis of the image source, the brightness value of the HDR image is used instead of the pixel value of the image as the image data. In addition, this research designs experiments to study the translation effects of this research model. The research results show that the model proposed in this paper has certain effects and can provide theoretical references for subsequent related research.

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