This paper focuses on recognizing Arabic embedded text in videos. The proposed methods proceed without applying any prior pre-processing operations or ...
Abstract-This paper focuses on recognizing Arabic embedded text in videos. The proposed methods proceed without applying any prior pre-processing operations ...
PDF | This paper focuses on recognizing Arabic embedded text in videos. The proposed methods proceed without applying any prior pre-processing.
This study presents a novel approach for Arabic video text recognition based on recurrent neural networks. In fact, embedded texts in videos represent a rich ...
May 15, 2015 · This paper focuses on recognizing Arabic text embedded in videos. The proposed methods proceed without applying any prior pre-processing ...
Bibliographic details on Deep learning and recurrent connectionist-based approaches for Arabic text recognition in videos.
This study presents a novel approach for Arabic video text recognition based on recurrent neural networks. In fact, embedded texts in videos represent a ...
Different recurrent connectionist language models to improve LSTM-based Arabic text recognition in videos. ... Deep learning based approaches also offer ...
Contribution of recurrent connectionist language models in improving LSTM-based Arabic text recognition in videos. Unconstrained text recognition in videos ...
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