Detecting and Filling Double Text in Korean Signboard Images

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.