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2016 | OriginalPaper | Buchkapitel

Robust Uyghur Text Localization in Complex Background Images

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

Erschienen in: Advances in Multimedia Information Processing - PCM 2016

Verlag: 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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Fußnoten
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Metadaten
Titel
Robust Uyghur Text Localization in Complex Background Images
verfasst von
Jianjun Chen
Yun Song
Hongtao Xie
Xi Chen
Han Deng
Yizhi Liu
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-48896-7_40

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