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Methodologies for optical character recognition using convo..:
, In:
2022 IEEE International Conference on Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA)
,
Churta, Armando Uribe
;
Marroquin, William Gutierrez
;
Lopez, Ian Mateo Rodriguez
- p. 1-7 , 2022
Link:
https://doi.org/10.1109/ICA-ACCA56767.2022.10006040
RT T1 <cTitle>2022 IEEE International Conference on Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA)</cTitle>: T1 <Title>Methodologies for optical character recognition using convolutional neural networks and open source tools applied to industrial production lines</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10006040&Exemplar=1&LAN=DE A1 Churta, Armando Uribe A1 Marroquin, William Gutierrez A1 Lopez, Ian Mateo Rodriguez YR 2022 K1 Embedded systems K1 Optical character recognition K1 Urban areas K1 Companies K1 Production K1 Packaging K1 Classification algorithms K1 industrial labeling K1 industrial coding K1 convolutional neural network K1 recognition K1 computer vision K1 optical character recognition K1 OCR SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/ICA-ACCA56767.2022.10006040 DO https://doi.org/10.1109/ICA-ACCA56767.2022.10006040 SF ELIB - SuUB Bremen
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