Figure - available from: SN Applied Sciences
This content is subject to copyright. Terms and conditions apply.
Source publication
Optical character recognition (OCR) for Arabic presents unique challenges due to the script's cursive nature, contextual letter forms, multiple ligatures, the presence of diacritics, and the high variability in handwritten styles. This work introduces an enhanced Arabic handwritten word recognition architecture that integrates the attention mechani...
Similar publications
This paper presents a novel hybrid modeling approach for effective text spotting specifically tailored to the Gujarati language, achieving a high accuracy of 91.8% while maintaining efficient training time of only 18 minutes. The proposed hybrid model synergistically combines convolutional neural networks (CNN) for feature extraction and transforme...
