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http://dx.doi.org/10.5762/KAIS.2014.15.3.1718

Character Region Detection Using Structural Features of Hangul & English Characters in Natural Image  

Oh, Myoung-Kwan (Dept. of Digital Service, Hyejeon College)
Park, Jong-Cheon (Dept. of Computer Engineering, Chungbuk National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.15, no.3, 2014 , pp. 1718-1723 More about this Journal
Abstract
We proposes the method to detect the Hangul and English character region from natural image using structural feature of Hangul and English Characters. First, we extract edge features from natural image, Next, if features are not corresponding to the heuristic rule of character features, extracted features filtered out and select candidates of character region. Next, candidates of Hangul character region are merged into one Hangul character using Hangul character merging algorithm. Finally, we detect the final character region by Hangul character class decision algorithm. English character region detected by edge features of English characters. Experimental result, proposed method could detect a character region effectively in images that contains a complex background and various environments. As a result of the performance evaluation, A proposed method showed advanced results about detection of Hangul and English characters region from natural image.
Keywords
Character Region; Detection; Hangul; Vowel Structure;
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