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1 Ergebnisse
1
Speeding-up the Handwritten Signature Segmentation Process ..:
, In:
2019 International Conference on Document Analysis and Recognition (ICDAR)
,
Silva, Paloma G. S.
;
A. M. L. Junior, Celso
;
Lima, Estanislau B.
.. - p. 1417-1423 , 2019
Link:
https://doi.org/10.1109/ICDAR.2019.00228
RT T1 <cTitle>2019 International Conference on Document Analysis and Recognition (ICDAR)</cTitle>: T1 <Title>Speeding-up the Handwritten Signature Segmentation Process through an Optimized Fully Convolutional Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8977965&Exemplar=1&LAN=DE A1 Silva, Paloma G. S. A1 A. M. L. Junior, Celso A1 Lima, Estanislau B. A1 Bezerra, Byron L. D. A1 Zanchettin, Cleber YR 2019 SN 2379-2140 K1 Training K1 Task analysis K1 Image segmentation K1 Computer architecture K1 Databases K1 Convolutional neural networks K1 Computational modeling K1 Handwritten Signature segmentation K1 Data augmentation K1 Fully convolutional neural network K1 U-Net SP 1417 OP 1423 LK http://dx.doi.org/https://doi.org/10.1109/ICDAR.2019.00228 DO https://doi.org/10.1109/ICDAR.2019.00228 SF ELIB - SuUB Bremen
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