TRANSFER LEARNING BASED OFFLINE YORÙBÁ HANDWRITTEN CHARACTER RECOGNITION SYSTEM
This study presents Transfer Learning-based framework through the use of AlexNet for the development of an offline Yorùbá Handwritten Character Recognition System. The system encompasses the upper and case characters of the Yorùbá language, and tonal letters that have a significant impact on the Yo...
Saved in:
Main Authors: | OLUWASHINA OYENIRAN, EBENEZER OYEBODE |
---|---|
Format: | Article |
Language: | English |
Published: |
Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
2021-10-01
|
Series: | Journal of Engineering Studies and Research |
Subjects: | |
Online Access: | https://jesr.ub.ro/index.php/1/article/view/278 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
DEVELOPMENT OF AN IMPROVED DATABASE FOR YORUBA HANDWRITTEN CHARACTER
by: OLUWASHINA O. OYENIRAN, et al.
Published: (2021-12-01) -
Advancements in CNN Architectures for Offline Handwritten Arabic Character Recognition
by: El Ibrahimi Aissam, et al.
Published: (2025-01-01) -
A Novel Technique for Handwritten Signature Recognition
by: Leila Boucerredj, et al.
Published: (2024-12-01) -
Obscuring Our Sense of Morality: Barry Hallen’s Yoruba Moral Epistemology and the Problem of Character Indeterminacy
by: Babalola J. Balogun, et al.
Published: (2024-05-01) -
Applying fuzzy analytic hierarchy process to select models developed by abstraction and decision fusion architecture (case study: classification of Persian handwritten characters)
by: Mohammad Safaei, et al.
Published: (2024-11-01)