A smart visual sensing concept involving deep learning for a robust optical character recognition under hard real-world conditions

HIGHLIGHTS

• who: Kabeh Mohsenzadegan and collaborators from the Institute for Systems Technologies, University Klagenfurt, Klagenfurt, Austria have published the research work: A Smart Visual Sensing Concept Involving Deep Learning for a Robust Optical Character Recognition under Hard Real-World Conditions, in the Journal: Sensors 2022, 6025 of 12/08/2022
• what: The authors propose new model for optical character recognition (OCR) based on both CNNs (convolutional neural networks) and RNNs (recurrent neural networks). The outputs of the model are text elements (i.e., words), which are compared through a loss function with the corresponding expected values . . .
  

   

  

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