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http://dx.doi.org/10.17703/JCCT.2018.4.4.361

Regional Boundary Operation for Character Recognition Using Skeleton  

Yoo, Suk Won (Dept. of Computer Science, SeoKyeong University)
Publication Information
The Journal of the Convergence on Culture Technology / v.4, no.4, 2018 , pp. 361-366 More about this Journal
Abstract
For each character constituting learning data, different fonts are added in pixel unit to create MASK, and then pixel values belonging to the MASK are divided into three groups. The experimental data are modified into skeletal forms, and then regional boundary operation is used to create a boundary that distinguishes the background region adjacent to the skeleton of the character from the background of the modified experimental data. Discordance values between the modified experimental data and the MASKs are calculated, and then the MASK with the minimum value is found. This MASK is selected as a finally recognized result for the given experiment data. The recognition algorithm using skeleton of the character and the regional boundary operation can easily extend the learning data set by adding new fonts to the given learning data, and also it is simple to implement, and high character recognition rate can be obtained.
Keywords
Skeleton; Thinning; Image Processing; Character Recognition; Boundary Expansion; Image Analysis; Feature Extraction;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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