An Efficient Correction Method for Misrecognized Words in Off-line Hangul Character Recognition


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 3, No. 6, pp. 1598-1606, Nov. 1996
10.3745/KIPSTE.1996.3.6.1598,   PDF Download:

Abstract

In order to achieve high accuracy of off-line character recognotion(OCR) systems, the recognized text must be processed through a post-processing stage using contextual information. In this paper, we reclassify Korean word classes in terms of OCR word correction. And we collect combinations of Korean particles(approcimately 900) and Korean verbal forms(around 800). We aggregate 9 Korean irregular verbal phrases defined from a Korean linguistic point of view. Using these Korean word information and a Head-tail method, we can correct misrecognized words. A Korean character recognizer demonstrates 93.7% correct character recognition without a post-processing stage. The entire recognition rate of our system with a post-processing stage exceeds 97% correct character recognition.


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Cite this article
[IEEE Style]
L. B. Hee and K. T. Kyun, "An Efficient Correction Method for Misrecognized Words in Off-line Hangul Character Recognition," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 3, no. 6, pp. 1598-1606, 1996. DOI: 10.3745/KIPSTE.1996.3.6.1598.

[ACM Style]
Lee Byeong Hee and Kim Tae Kyun. 1996. An Efficient Correction Method for Misrecognized Words in Off-line Hangul Character Recognition. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 3, 6, (1996), 1598-1606. DOI: 10.3745/KIPSTE.1996.3.6.1598.