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https://doi.org/10.2498/cit.2001.02.01

Recognizing Typeset Documents using Walsh Transformation

András Hajdu
Attila Fazekas

Puni tekst: engleski, pdf (190 KB) str. 101-112 preuzimanja: 355* citiraj
APA 6th Edition
Hajdu, A. i Fazekas, A. (2001). Recognizing Typeset Documents using Walsh Transformation. Journal of computing and information technology, 9 (2), 101-112. https://doi.org/10.2498/cit.2001.02.01
MLA 8th Edition
Hajdu, András i Attila Fazekas. "Recognizing Typeset Documents using Walsh Transformation." Journal of computing and information technology, vol. 9, br. 2, 2001, str. 101-112. https://doi.org/10.2498/cit.2001.02.01. Citirano 26.02.2020.
Chicago 17th Edition
Hajdu, András i Attila Fazekas. "Recognizing Typeset Documents using Walsh Transformation." Journal of computing and information technology 9, br. 2 (2001): 101-112. https://doi.org/10.2498/cit.2001.02.01
Harvard
Hajdu, A., i Fazekas, A. (2001). 'Recognizing Typeset Documents using Walsh Transformation', Journal of computing and information technology, 9(2), str. 101-112. https://doi.org/10.2498/cit.2001.02.01
Vancouver
Hajdu A, Fazekas A. Recognizing Typeset Documents using Walsh Transformation. Journal of computing and information technology [Internet]. 2001 [pristupljeno 26.02.2020.];9(2):101-112. https://doi.org/10.2498/cit.2001.02.01
IEEE
A. Hajdu i A. Fazekas, "Recognizing Typeset Documents using Walsh Transformation", Journal of computing and information technology, vol.9, br. 2, str. 101-112, 2001. [Online]. https://doi.org/10.2498/cit.2001.02.01

Sažetak
In this paper we present an effective character recognition algorithm, which can be applied mainly to typeset documents. Our aim was to compose a character recognition algorithm, which can be used to recognize simple typeset documents in a fast and reliable way. To get a good result by this algorithm the input text document should contain characters from the same character set with a small number of symbols. This condition does not mean a strong restriction as the documents in practice usually have this property. The main character recognition part of the algorithm is based on the Walsh transformation, which gives a verbose description about the image, like the symmetrical relations, placement of the foreground and background pixels, and so on. That is why we tried to apply it to recognize characters, and the algorithm proved to be fairly efficient and reliable for simple documents, since the feature vectors extracted by Walsh transformation can be well distinguished. Moreover, our method had very good results in tolerating different types of noise corruption.

Hrčak ID: 44811

URI
https://hrcak.srce.hr/44811

Posjeta: 485 *