Methods of data augmentation for palimpsest character recognition with Deep Neural Network

@inproceedings{Starynska2017MethodsOD,
  title={Methods of data augmentation for palimpsest character recognition with Deep Neural Network},
  author={Anna Starynska and Roger L. Easton and David Messinger},
  booktitle={HIP@ICDAR},
  year={2017}
}
Deep Neural Networks (DNN) are now widely used in computer vision, due to their recent success in large-scale image classification. Despite the impressive performance of DNN in supervised optical character recognition (OCR) for handwritten documents, they typically have not been used for the application of reading historical manuscripts. The main reason is the lack of availability of large datasets and of understanding about the amount of data required to achieve good results in supervised… CONTINUE READING

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