UNCONSTRAINED EAR RECOGNITION USING TRANSFORMERS
The advantages of the ears as a means of identification over other biometric modalities provided an avenue for researchers to conduct biometric recognition studies on state-of-the-art computing methods. This paper presented a deep learning pipeline for unconstrained ear recognition using a Transform...
Guardado en:
Autor principal: | Marwin Alejo |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/2d69ca20c56f4b8fae1155a925ccf202 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Ejemplares similares
-
BRAIN-INSPIRED SPIKING NEURAL NETWORKS FOR WI-FI BASED HUMAN ACTIVITY RECOGNITION
por: Yee Leong Tan, et al.
Publicado: (2021) -
ANALYSIS OF METHODS FOR DETECTING FACES IN AN IMAGE
por: Zh. Sultanov
Publicado: (2021) -
MODELLING AGILE-TRANSFORMATION ORGANIZATIONAL DEVELOPMENT PROJECT PORTFOLIO
por: S. Bushuyev, et al.
Publicado: (2021) -
Editorial for the Special Section on Research on consumer evaluation of mobile application: Does interactivity matter?
por: Amit Shankar, et al.
Publicado: (2021) -
Deep scaffold hopping with multimodal transformer neural networks
por: Shuangjia Zheng, et al.
Publicado: (2021)