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...
Guardado en:
Autores principales: | OLUWASHINA OYENIRAN, EBENEZER OYEBODE |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/6de6887ce8fe42e28526511ce9b49131 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
K-Nearest Neighbor for Recognize Handwritten Arabic Character
por: Muhammad Athoillah
Publicado: (2019) -
Challenge of Translating “Snow” In Yoruba Bible and Its Influence on Congregational Singing Among Yoruba Christian Worshipers
por: Gabriel Oyeniyi
Publicado: (2020) -
Optical Recognition of Handwritten Logic Formulas Using Neural Networks
por: Vaios Ampelakiotis, et al.
Publicado: (2021) -
A REAL TIME FACE RECOGNITION SYSTEM USING ALEXNET DEEP CONVOLUTIONAL NETWORK TRANSFER LEARNING MODEL
por: LAWRENCE O. OMOTOSHO, et al.
Publicado: (2021) -
Study on character recognition algorithm for end face of bundled special steel bars
por: Fuxiang ZHANG, et al.
Publicado: (2021)