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Having a reliable accuracy score is crucial for real world applications of OCR, since such systems are judged by the number of false readings.
The iam-database: an english sentence database for offline handwriting recognition
U.-V. Marti and H. Bunke · 2002
Earlier work this paper cites.
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
A. Graves, S. Fernández, F. Gomez, and J. Schmidhuber · 2006
Earlier work this paper cites.
An overview of the tesseract ocr engine
R. Smith · 2007
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Icdar 2009 handwriting recognition competition
E. Grosicki and H. El Abed · 2009
Earlier work this paper cites.
End-to-end scene text recognition
K. Wang, B. Babenko, and S. Belongie · 2011
Earlier work this paper cites.
Icdar 2013 robust reading competition
D. Karatzas, F. Shafait, S. Uchida, M. Iwamura, L. G. i Bigorda, S. R. Mestre, J. Mas, D. F. Mota, J. A. Almazan, and L. P. de las Heras · 2013
Cited alongside, same era.
Synthetic data and artificial neural networks for natural scene text recognition
M. Jaderberg, K. Simonyan, A. Vedaldi, and A. Zisserman · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2014
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Star-net: A spatial attention residue network for scene text recognition
W. Liu, C. Chen, K.-Y. K. Wong, Z. Su, and J. Han · 2016
Later among the works it cites.
Cnn-n-gram for handwriting word recognition
A. Poznanski and L. Wolf · 2016
Later among the works it cites.
Visual attention models for scene text recognition
S. K. Ghosh, E. Valveny, and A. D. Bagdanov · 2017
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An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition
B. Shi, X. Bai, and C. Yao · 2017
Later among the works it cites.
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