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...
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/1/article/view/278 |
Similar Items
-
TRANSFER LEARNING BASED OFFLINE YORÙBÁ HANDWRITTEN CHARACTER RECOGNITION SYSTEM
by: OLUWASHINA OYENIRAN, et al.
Published: (2021-10-01) -
DEVELOPMENT OF AN IMPROVED DATABASE FOR YORUBA HANDWRITTEN CHARACTER
by: OLUWASHINA O. OYENIRAN, et al.
Published: (2021-12-01) -
DEVELOPMENT OF AN IMPROVED DATABASE FOR YORUBA HANDWRITTEN CHARACTER
by: OLUWASHINA O. OYENIRAN, et al.
Published: (2021-12-01) -
Deep Learning Based Models for Offline Gurmukhi Handwritten Character and Numeral Recognition
by: Manoj Kumar Mahto, et al.
Published: (2022-01-01) -
Benchmarking on offline Handwritten Tamil Character Recognition using convolutional neural networks
by: B.R. Kavitha, et al.
Published: (2022-04-01)