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Character Region Detection Using Structural Features of Hangul Vowel

한글 모음의 구조적 특징을 이용한 문자영역 검출 기법

  • Received : 2011.01.12
  • Accepted : 2012.02.10
  • Published : 2012.02.29

Abstract

We proposes the method to detect the Hangul character region from natural image using topological structural feature of Hangul grapheme. First, we transform a natural image to a gray-scale image. Second, feature extraction performed with edge and connected component based method, Edge-based method use a Canny-edge detector and connected component based method applied the local range filtering. Next, if features are not corresponding to the heuristic rule of Hangul character, 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. 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 character region from mobile image.

Keywords

Character Region;Detection;Hangul;Vowel Structure

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Acknowledgement

Supported by : 청운대학교