An intelligent approach for Arabic handwritten letter recognition using convolutional neural network.

ABSTRACT: Currently, digital transformation has occurred in most countries in the world to varying degrees, but digitizing business processes are complex in terms of understanding the various aspects of manual documentation. The use of digital devices and intelligent systems is vital in the digital transformation of manual documentation from hardcopy to digital formats. The transformation of handwritten documents into electronic files is one of the principal aspects of digitization and represents a common need shared by today's businesses. Generally, handwriting recognition poses a complex digitization challenge, and Arabic handwriting recognition, specifically, proves inordinately challenging due to the nature of Arabic scripts and the excessive diversity in human handwriting. This study presents a

SUBMITTER: Ullah Z 

PROVIDER: S-EPMC9202630 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature