End-to-End Deep Learning Framework for Arabic Handwritten Legal Amount Recognition and Digital Courtesy Conversion
Description:
This article introduces an innovative AI-driven method for simultaneously recognizing and converting Arabic handwritten legal amounts into numerical courtesy forms. The results of this study demonstrate promising potential for practical implementation in diverse Arabic financial systems.
Date:
July 19, 2024
Creator:
Abdo, Hakim A.; Abdu, Ahmed; Al-Antari, Mugahed A.; Manza, Ramesh R.; Talo, Muhammed; Gu, Yeong Hyeon et al.
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Partner:
UNT College of Engineering