Hybrid Arabic handwritten character segmentation using CNN and graph theory algorithm

Arabic handwritten words segmentation is considered a challenging step in Arabic optical character recognition. In this work, we propose a convolutional neural network-based segmentation of handwritten Arabic words. After generating candidate segmentation points, we applied a graph theory-based tech...

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Detalles Bibliográficos

Autores principales:	Lamia Berriche, Ashjan Alqahtani, Siwar RekikR
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Springer 2024-01-01
Colección:	Journal of King Saud University: Computer and Information Sciences
Materias:	Handwriting Segmentation Convolutional Neural Network Transfer Learning Graph
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S1319157823004263
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