A test-time adaptation plus prior-knowledge correction method raises billet number recognition accuracy from 58% to 80% on machine-printed and from 24% to 70% on handwritten samples in the authors' tests.
Unified deep neural networks for end-to-end recog- nition of multi-oriented billet identification number
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Billet Number Recognition Based on Test-Time Adaptation
A test-time adaptation plus prior-knowledge correction method raises billet number recognition accuracy from 58% to 80% on machine-printed and from 24% to 70% on handwritten samples in the authors' tests.