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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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Kaydedildi:
Asıl Yazarlar: Hakim A. Abdo, Ahmed Abdu, Mugahed A. Al-Antari, Ramesh R. Manza, Muhammed Talo, Yeong Hyeon Gu, Shobha Bawiskar
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI AG 2024-07-01
Seri Bilgileri:Mathematics
Konular:
Arabic handwriting legal amount
digital courtesy amount
object detection
ensemble transfer learning
hybrid classification AI model
vision transformer (ViT)
Online Erişim:https://www.mdpi.com/2227-7390/12/14/2256
Etiketler: Etiketle
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