Unconstrained Arabic scene text analysis using concurrent invariant points

Ahmed, Saad Bin, Naz, Saeeda, Razzak, Imran and Prasad, Mukesh 2020, Unconstrained Arabic scene text analysis using concurrent invariant points, in IJCNN : Proceedings of the 2020 International Joint Conference on Neural Networks, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 1-6, doi: 10.1109/IJCNN48605.2020.9207283.

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Title Unconstrained Arabic scene text analysis using concurrent invariant points
Author(s) Ahmed, Saad Bin
Naz, Saeeda
Razzak, ImranORCID iD for Razzak, Imran orcid.org/0000-0002-3930-6600
Prasad, Mukesh
Conference name International Neural Network Society. Conference (2020 : Online from Glasgow, Scotland)
Conference location Online from Glasgow, Scotland
Conference dates 2020/07/19 - 2020/07/24
Title of proceedings IJCNN : Proceedings of the 2020 International Joint Conference on Neural Networks
Editor(s) [Unknown]
Publication date 2020
Series International Neural Network Society Conference
Start page 1
End page 6
Total pages 6
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Extremal region
Invariant features
Multi-dimensional LSTM
Text Recognition
Natural scene image
ISBN 9781728169262
Language eng
DOI 10.1109/IJCNN48605.2020.9207283
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30145960

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