Irregular scene text detection based on a graph convolutional network

HIGHLIGHTS

• who: Shiyu Zhang and colleagues from the College of Science, Jiangxi University of Science and Technology, Ganzhou, China have published the article: Irregular Scene Text Detection Based on a Graph Convolutional Network, in the Journal: Sensors 2023, 23, 1070. of /2023/
• what: The authors propose a novel method that can effectively and robustly detect text in natural scene images. To evaluate the algorithm the authors compare it with other existing algorithms by performing experiments on three public datasets: ICDAR2013 CTW-1500 and MSRA-TD500. Inspired by DRRG , the authors propose an irregular scene text detection . . .
  

   

  

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