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- Title
Robust and parallel Uyghur text localization in complex background images.
- Authors
Song, Yun; Chen, Jianjun; Xie, Hongtao; Chen, Zhineng; Gao, Xingyu; Chen, Xi
- 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.
- Subjects
UIGHUR alphabet; CENTRAL processing units; GRAPHICS processing units; FEATURE extraction; GRAPH connectivity
- Publication
Machine Vision & Applications, 2017, Vol 28, Issue 7, p755
- ISSN
0932-8092
- Publication type
Article
- DOI
10.1007/s00138-017-0837-3