Optics and Precision Engineering, Volume. 29, Issue 9, 2210(2021)
Dense irregular text detection based on multi-dimensional convolution fusion
Figures & Tables(15)
Fig. 4. Text candidate box generation process based on progressive expanded text kernel
Fig. 6. Experiential results of initial feature extraction and enhanced text feature extraction
Fig. 7. Experimental results of FPN text multidimensional feature extraction
Fig. 9. Text kernel S1， S2， S3 text instance segmentation and final detection results
Table 1. Experimental results of DAST1500
View tableView in ArticleTable 1. Experimental results of DAST1500
Methed TEM CFS Precision Recall F-score EAST［ 13 ］69.2 55.8 61.8 SegLink［ 7 ］67.2 63.8 65.5 TextSnake［ 14 ］73.6 72.1 72.8 PSENet［ 15 ］78.8 76.2 77.4 Our Method √ 79.2 77.8 78.5 Our Method √ 79.3 78.1 78.7 Our Method √ √ 81.7 81.9 81.8
Table 2. Experimental results of ICDAR2015
View tableView in ArticleTable 2. Experimental results of ICDAR2015
Methed TEM CFS Precision Recall F-score SegLink［ 7 ］73.1 76.8 75.0 EAST［ 13 ］83.6 73.5 78.2 PSENet［ 15 ］81.5 79.7 80.6 TextSnake［ 14 ］84.9 80.4 82.6 Our Method √ 81.7 80.1 80.9 Our Method √ 83.3 80.6 81.9 Our Method √ √ 84.4 80.7 83.0
Table 3. Experimental results of CTW1500
View tableView in ArticleTable 3. Experimental results of CTW1500
Methed TEM CFS Precision Recall F-score SegLink［ 7 ］42.3 40.0 40.8 EAST［ 13 ］78.7 49.1 60.4 TextSnake［ 14 ］67.9 85.3 75.6 PSENet［ 15 ］80.6 75.6 78.0 Our Method √ 80.5 75.9 78.1 Our Method √ 81.7 76.0 78.7 Our Method √ √ 82.1 76.1 79.0
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Yue-bo MENG, De-wang SHI, Guang-hui LIU, Sheng-jun XU, Dan JIN. Dense irregular text detection based on multi-dimensional convolution fusion[J]. Optics and Precision Engineering, 2021, 29(9): 2210
Paper Information
Category: Information Sciences
Received: Feb. 24, 2021
Accepted: --
Published Online: Nov. 22, 2021
The Author Email: LIU Guang-hui (guanghui1@163.com)
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