End-to-End Deep Learning Framework for Arabic Handwritten Legal Amount Recognition and Digital Courtesy Conversion

Arabic handwriting recognition and conversion are crucial for financial operations, particularly for processing handwritten amounts on cheques and financial documents. Compared to other languages, research in this area is relatively limited, especially concerning Arabic. This study introduces an inn...

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Autori principali:	Hakim A. Abdo, Ahmed Abdu, Mugahed A. Al-Antari, Ramesh R. Manza, Muhammed Talo, Yeong Hyeon Gu, Shobha Bawiskar
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2024-07-01
Serie:	Mathematics
Soggetti:	Arabic handwriting legal amount digital courtesy amount object detection ensemble transfer learning hybrid classification AI model vision transformer (ViT)
Accesso online:	https://www.mdpi.com/2227-7390/12/14/2256
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