Title :
Detecting and Filling Double Text in Korean Signboard Images
Author :
Dinh, Toan Nguyen ; Huy Le Phat ; Lee, Gueesang
Author_Institution :
Dept. of Electron. & Comput. Eng., Chonnam Nat. Univ., Gwangju, South Korea
Abstract :
Double boundary text, also called outlined text, problem is presented when the text boundary has different color with background color and text stroke color. This problem, which frequently occurs in natural text of signboards, imposes another obstacle to the proper extraction of text information. In this paper, an efficient method is proposed based on well-known filling algorithms and characteristics of double boundary text for detecting and correcting double boundary text problem. The experimental results attained in different natural signboard images show the efficiency of our method.
Keywords :
character recognition; feature extraction; image colour analysis; text analysis; Korean signboard images; background color; double boundary text; double text detection; filling algorithms; outlined text; text information extraction; text stroke color; Computational complexity; Data mining; Filling; Frequency domain analysis; Gray-scale; Image color analysis; Image segmentation; Information technology; Layout; Neural networks;
Conference_Titel :
Computer and Information Technology, 2009. CIT '09. Ninth IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3836-5
DOI :
10.1109/CIT.2009.14
