articleJun 1, 2019Closed access

Shape Robust Text Detection With Progressive Scale Expansion Network

Novel (United States) · Nanjing University · +6 more institutions

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Abstract

Scene text detection has witnessed rapid progress especially with the recent development of convolutional neural networks. However, there still exists two challenges which prevent the algorithm into industry applications. On the one hand, most of the state-of-art algorithms require quadrangle bounding box which is in-accurate to locate the texts with arbitrary shape. On the other hand, two text instances which are close to each other may lead to a false detection which covers both instances. Traditionally, the segmentation-based approach can relieve the first problem but usually fail to solve the second challenge. To address these two challenges, in this paper, we propose a novel Progressive Scale Expansion…

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839
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FWCI
45.01
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100%
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Authors

7

Topics & keywords

Keywords
  • Computer science
  • Bounding overwatch
  • Segmentation
  • Artificial intelligence
  • Scale (ratio)
  • Text detection
  • Convolutional neural network
  • Minimum bounding box
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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