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An End-to-End Approach for Recognition of Modern and Historical
  Handwritten Numeral Strings

An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings

IEEE International Joint Conference on Neural Network (IJCNN), 2020
28 March 2020
A. G. Hochuli
A. Britto
J. P. Barddal
Luiz Eduardo Soares de Oliveira
R. Sabourin
ArXiv (abs)PDFHTML

Papers citing "An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings"

3 / 3 papers shown
Evaluation of Different Annotation Strategies for Deployment of Parking
  Spaces Classification Systems
Evaluation of Different Annotation Strategies for Deployment of Parking Spaces Classification SystemsIEEE International Joint Conference on Neural Network (IJCNN), 2022
A. G. Hochuli
A. Britto
P. R. L. Almeida
Williams B. S. Alves
Fabio M. C. Cagni
124
7
0
22 Jul 2022
End-to-End Approach for Recognition of Historical Digit Strings
End-to-End Approach for Recognition of Historical Digit StringsIEEE International Conference on Document Analysis and Recognition (ICDAR), 2021
Mengqiao Zhao
A. G. Hochuli
A. Cheddad
130
4
0
28 Apr 2021
Towards Image-based Automatic Meter Reading in Unconstrained Scenarios:
  A Robust and Efficient Approach
Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient ApproachIEEE Access (IEEE Access), 2020
Rayson Laroca
Alessandra B. Araujo
L. A. Zanlorensi
E. Almeida
David Menotti
377
37
0
21 Sep 2020
1
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