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Multilingual Text Detection with Nonlinear Neural Network

Author

Listed:
  • Lin Li
  • Shengsheng Yu
  • Luo Zhong
  • Xiaozhen Li

Abstract

Multilingual text detection in natural scenes is still a challenging task in computer vision. In this paper, we apply an unsupervised learning algorithm to learn language-independent stroke feature and combine unsupervised stroke feature learning and automatically multilayer feature extraction to improve the representational power of text feature. We also develop a novel nonlinear network based on traditional Convolutional Neural Network that is able to detect multilingual text regions in the images. The proposed method is evaluated on standard benchmarks and multilingual dataset and demonstrates improvement over the previous work.

Suggested Citation

  • Lin Li & Shengsheng Yu & Luo Zhong & Xiaozhen Li, 2015. "Multilingual Text Detection with Nonlinear Neural Network," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-7, October.
  • Handle: RePEc:hin:jnlmpe:431608
    DOI: 10.1155/2015/431608
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