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2016 | OriginalPaper | Chapter

Robust Uyghur Text Localization in Complex Background Images

Authors : Jianjun Chen, Yun Song, Hongtao Xie, Xi Chen, Han Deng, Yizhi Liu

Published in: Advances in Multimedia Information Processing - PCM 2016

Publisher: Springer International Publishing

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Abstract

Text localization in complex background images remains a challenging task, especially for Uyghur text. Since the existing methods mostly focus on English and Chinese. Uyghur as a minority language is paid less attention. This paper proposes a robust and precise method for locating Uyghur texts in complex background images. Firstly, a multi-color-channel enhanced Maximally Stable Extremal Regions (MSERs) extraction scheme is used to capture text components robustly. Then, the strong classification and retrieve strategy (SCRS) accurately identifies text components. Finally, our method precisely connects text components into lines according to component connectivity. The proposed method is evaluated on the UICBI400 dataset, and the F-measure is over 82.8%, which is much better than the state-of-the-art performance of 61.6%.

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Footnotes
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Metadata
Title
Robust Uyghur Text Localization in Complex Background Images
Authors
Jianjun Chen
Yun Song
Hongtao Xie
Xi Chen
Han Deng
Yizhi Liu
Copyright Year
2016
Book
Advances in Multimedia Information Processing - PCM 2016

Print ISBN: 978-3-319-48895-0

Electronic ISBN: 978-3-319-48896-7

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-48896-7_40