A Study on Automatic Binarization of Text Region Using a Stroke Filter 


Vol. 33,  No. 2, pp. 178-183, Feb.  2008


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  Abstract

The videotext brings important semantic clues into video content analysis. In this paper, we propose an automatic binarization method of text region using a stroke filter. Proposed text binarization method consists of stroke filtering, text color polarity determination, and local region growing. By using the responses of dark and bright stroke filters, we can determine color polarity of text region automatically. And the method is robust against complex background, because it considers stroke information of videotexts by using a stroke filter. The effectiveness of our method is verified by experiments on a challenging database.

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  Cite this article

[IEEE Style]

C. Jung and J. Kim, "A Study on Automatic Binarization of Text Region Using a Stroke Filter," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 2, pp. 178-183, 2008. DOI: .

[ACM Style]

Cheolkon Jung and Joongkyu Kim. 2008. A Study on Automatic Binarization of Text Region Using a Stroke Filter. The Journal of Korean Institute of Communications and Information Sciences, 33, 2, (2008), 178-183. DOI: .

[KICS Style]

Cheolkon Jung and Joongkyu Kim, "A Study on Automatic Binarization of Text Region Using a Stroke Filter," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 2, pp. 178-183, 2. 2008.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880