AEMSER Using Adaptive Threshold Of Canny Operator To Extract Scene Text

• Published in: Journal of Digital Contents Society Vol. 16; no. 6; pp. 951 - 959
• Main Authors: Park, Sunhwa, Kim, Donghyun, Im, Hyunsoo, Kim, Honghoon, Paek, Jaegyung, Park, Jaeheung, Seo, Yeong Geon
• Format: Journal Article
• Language: English
• Published: 한국디지털콘텐츠학회 31.12.2015
• Subjects: 컴퓨터학; 장면 텍스트 추출; 캐니 자동 임계값; Scene Text Extraction; Adaptive Threshold; Threshold Computation; MSER; 적응적 임계값; 임계값 계산; Canny Auto Threshold
• ISSN: 1598-2009; 2287-738X
• DOI: 10.9728/dcs.2015.16.6.951

Scene text extraction is important because it offers some important information on different image based applications pouring in current smart generation. Edge-Enhanced MSER(Maximally Stable Extremal Regions) which enhances the boundaries using the canny operator after extracting the basic MSER shows excellent performance in terms of text extraction. But according to setting the threshold of the canny operator, the result images using Edge-Enhanced MSER are different, so there needs a method figuring out the threshold. In this paper, we propose a AEMSER(Adaptive Edge-enhanced MSER) that applies the method extracting the boundary using the middle value of histogram to Edge-Enhanced MSER to get the canny operator's threshold. The proposed method can acquire better result images than the existing methods because it extracts the area only for the obvious boundaries. KCI Citation Count: 2