Enhancing Arabic handwritten word recognition: a CNN-BiLSTM-CTC architecture with attention mechanism and adaptive augmentation

Abstract 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 rec...

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Principais autores:	Bounour Imane, Ammour Alae, Khaissidi Ghizlane, Mostafa Mrabti
格式:	Artigo
語言:	Inglês
出版:	Springer 2025-05-01
叢編:	Discover Applied Sciences
主題:	Arabic handwritten word recognition Convolutional neural network Biredirectional long short memory Conxionnist temporel classification Word beam search Attention mechanism
在線閱讀:	https://doi.org/10.1007/s42452-025-06952-z
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