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General Information
Editor-in-chief

Prof. Pascal Lorenz
University of Haute Alsace, France
 
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2017 Vol.6(3): 106-109 ISSN: 2010-3751
doi: 10.18178/ijfcc.2017.6.3.499

Text Region Extraction in High Contrasting Image

Seokjun Kang, Daewoong Cha, Youngwoo Kim, and Dong Seog Han
Abstract—In this paper, a text region extraction system with high contrasting text images for self-driving cars is proposed. The maximally stable extremal regions (MSER) method is usually used to extract text regions. Images must be converted to grayscale to process with the MSER method. However, the performance of MSER by using grayscale images has a poor ability of capturing regions of interest in bad conditions such as high-contrast, low-luminance, much light reflection, and so on. An MSER system with a contrast-limited adaptive histogram equalization (CLAHE) instead of conventional MSER is therefore proposed. CLAHE is utilized as a pre-processing method in MSER to detect text regions. The proposed method achieves a precision of 81% and a recall of 82%. However, those for the MSER with grayscale are 63% and 55%, respectively.

Index Terms—CLAHE, MSER, stroke width transform, text region extraction.

Seokjun Kang, Daewoong Cha, Youngwoo Kim, and Dong Seog Han are with the School of Electronics Engineering, Kyungpook National University, Daegu, Korea (e-mail: dshan@knu.ac.kr).

[PDF]

Cite: Seokjun Kang, Daewoong Cha, Youngwoo Kim, and Dong Seog Han, "Text Region Extraction in High Contrasting Image," International Journal of Future Computer and Communication vol. 6, no. 3, pp. 106-109, 2017.

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