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Title: Contextual post-processing based on the confusion matrix in offline handwritten Chinese script recognition
Authors: Li, Y.-X. 
Tan, C.L. 
Ding, X.
Liu, C.
Keywords: Approximate word-matching
Candidate expansion
Chinese character recognition
Confusion matrix
Contextual post-processing
Statistical language model
Issue Date: 2004
Citation: Li, Y.-X., Tan, C.L., Ding, X., Liu, C. (2004). Contextual post-processing based on the confusion matrix in offline handwritten Chinese script recognition. Pattern Recognition 37 (9) : 1901-1912. ScholarBank@NUS Repository.
Abstract: The inclusion of potentially correct characters in candidate sets is key to improving accuracy in the recognition of Chinese scripts in the aspect of contextual post-processing. This paper presents two methods based on a confusion matrix to recall the correct characters. The first method uses original candidates to conjecture the most likely correct characters, and then combines the conjectured set with the original candidates to produce a new candidate set. The second method performs an approximate matching of adjoining characters in a sentence with Chinese words so as to recall the most likely correct character. Experimental results demonstrate the effectiveness of our proposed methods. © 2004 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
Source Title: Pattern Recognition
ISSN: 00313203
DOI: 10.1016/j.patcog.2004.03.002
Appears in Collections:Staff Publications

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