Corpus ID: 3126988

End-to-end text recognition with convolutional neural networks

@article{Wang2012EndtoendTR,
  title={End-to-end text recognition with convolutional neural networks},
  author={T. Wang and David J. Wu and A. Coates and A. Ng},
  journal={Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)},
  year={2012},
  pages={3304-3308}
}
  • T. Wang, David J. Wu, +1 author A. Ng
  • Published 2012
  • Computer Science
  • Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)
Full end-to-end text recognition in natural images is a challenging problem that has received much attention recently. Traditional systems in this area have relied on elaborate models incorporating carefully hand-engineered features or large amounts of prior knowledge. In this paper, we take a different route and combine the representational power of large, multilayer neural networks together with recent developments in unsupervised feature learning, which allows us to use a common framework to… Expand
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