Volume 9 Number 6 (Jun. 2014)
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JSW 2014 Vol.9(6): 1538-1544 ISSN: 1796-217X
doi: 10.4304/jsw.9.6.1538-1544

An Efficient Method of Text Localization in Complicated Background Scenes

He Xiao1, Yunbo Rao2
1Computer School, China West Normal University, Nan Chong, Sichuan, 637009, P.R China
2School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610054, P.R China


Abstract—We propose a novel method for text localization in low illumination images with complicated background scenes. Low illumination image, complex background and variations of text script make text localization problem challenging. The proposed method use density-based information and rectangle window in the residual edge image. The proposed method firstly is color space conversion from RGB to Ycbcr color space, secondly we extract Y component from Ycbcr color space and get image enhancement from Y component, then extract out the vertical edges of enhanced Y component, thirdly, long curve and random noise in complicated background are removed, finally, search the text localization and segment the text out from the original low illumination images. We evaluate our method using natural image data set and ICDAR data set. The experimental results show that the proposed method has more robust to interference characters and more accurate when compared with other methods.

Index Terms—text localization, complicated background, low illumination, density-based information

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Cite: He Xiao, Yunbo Rao, "An Efficient Method of Text Localization in Complicated Background Scenes," Journal of Software vol. 9, no. 6, pp. 1538-1544, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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