Title: Robust and Parallel Uyghur Text Localization in Complex Background Images
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| Authors: Song, Y; Chen, JJ; Xie, HT; Chen, ZN; Gao, XY; Chen, X
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| Author Full Names: Song, Yun; Chen, Jianjun; Xie, Hongtao; Chen, Zhineng; Gao, Xingyu; Chen, Xi
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| Source: MACHINE VISION AND APPLICATIONS, 28 (7):755-769; SI 10.1007/s00138-017-0837-3 OCT 2017
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| Language: English
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| Abstract: Uyghur text localization in complex background images is a significant research for Uyghur image content analysis. In this paper, we propose a robust Uyghur text localization method in complex background images and provide a CPU-GPU heterogeneous parallelization scheme. Firstly, a multi-color-channel enhanced maximally stable extremal region is used to extract components in images, which is robust to blur and low contrast. Secondly, a two-stage component classification system is used to filter out non-text components. Finally, a component connected graph algorithm is proposed to construct text lines. Experiments on the proposed dataset demonstrate that our algorithm compares favorably with the state-of-the-art algorithms when handling Uyghur texts. Besides, the heterogeneous parallel implementation achieves 12.5 times speedup.
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| ISSN: 0932-8092
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| eISSN: 1432-1769
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| IDS Number: FJ1OP
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| Unique ID: WOS:000412487500009
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