Tibetan-Chinese bilingual text detection in scene images integrating spatial attention features

Kaizheng Li; Yusheng Hao; Qiaoqiao Li; Weilan Wang

doi:10.1117/12.3008395

14 November 2023 Tibetan-Chinese bilingual text detection in scene images integrating spatial attention features

Kaizheng Li, Yusheng Hao, Qiaoqiao Li, Weilan Wang

Proceedings Volume 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023); 1293414 (2023) https://doi.org/10.1117/12.3008395
Event: 2023 3rd International Conference on Computer Graphics, Image and Virtualization (ICCGIV 2023), 2023, Nanjing, China

Abstract

Aiming at the problems of false detection and missing detection of texts in the process of text detection caused by random distribution of Tibetan texts, various scales and shapes in natural scenes, this paper proposes a natural scene Tibetan text detection algorithm based on feature enhancement of spatial attention mechanism. The spatial attention mechanism is introduced into the pyramid network module of feature extraction to extract richer local and overall information and enhance the ability of feature extraction; feature kernel clustering can better distinguish adjacent text instances, and the predicted similarity vector is accurate Aggregate text pixels to the corresponding text kernel, further improve the accuracy of scene Tibetan detection, and effectively reduce false detection and missed detection. The model is evaluated on the TCSD scene Tibetan dataset, and the results show that the F-measure comprehensive index of this method reaches 81.09%, which is better than the previous scene Tibetan detection algorithm.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kaizheng Li, Yusheng Hao, Qiaoqiao Li, and Weilan Wang "Tibetan-Chinese bilingual text detection in scene images integrating spatial attention features", Proc. SPIE 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023), 1293414 (14 November 2023); https://doi.org/10.1117/12.3008395

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