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...
Saved in:
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An End-to-end Quality Assurance Procedure for Ethos Online Adaptive Radiotherapy
by: S. A. Yoganathan, et al.
Published: (2025-01-01) -
Recognition of Handwritten Persian Two-digit Numerals Using a Novel Hybrid SVM/HMM algorithm
by: Mahsa Aliakbarzadeh, et al.
Published: (2024-02-01) -
End-to-end feature fusion for jointly optimized speech enhancement and automatic speech recognition
by: Mohamed Medani, et al.
Published: (2025-07-01) -
Multistage Convolutional Neural Network With Deformable Attention for Word-Level Offline Text-Independent Writer Identification
by: Manabu Okawa
Published: (2025-01-01) -
The would be Writer /
by: Burhans,Cliton S.
Published: (1965)