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On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter
  Evaluation

On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation

6 August 2020
Bernhard Liebl
M. Burghardt
ArXiv (abs)PDFHTML

Papers citing "On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation"

2 / 2 papers shown
CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition
CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition
Sina J. Semnani
Han Zhang
Xinyan He
Merve Tekgürler
Monica S. Lam
3DV
140
0
0
24 Sep 2025
An End-to-End Khmer Optical Character Recognition using
  Sequence-to-Sequence with Attention
An End-to-End Khmer Optical Character Recognition using Sequence-to-Sequence with Attention
R. Buoy
Sokchea Kor
Nguonly Taing
143
1
0
21 Jun 2021
1
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