Online Persian/Arabic Writer Identification using Gated Recurrent Unit Neural Networks

Conventional methods in writer identification mostly rely on hand-crafted features to represent the characteristics of different handwritten scripts. In this paper, we propose an end-to-end model for online text-independent writer identification on Persian/Arabic online handwritten scripts by using...

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Bibliographic Details
Main Authors: Mahsa Aliakbarzadeh, Farbod Razzazi
Format: Article
Language:English
Published: OICC Press 2024-02-01
Series:Majlesi Journal of Electrical Engineering
Subjects:
Online Access:https://oiccpress.com/mjee/article/view/4884
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