Japanese sign language classification based on gathered images and neural networks
This paper proposes a method to classify words in Japanese Sign Language (JSL). This approach employs a combined gathered image generation technique and a neural network with convolutional and pooling layers (CNNs). The gathered image generation generates images based on mean images. Herein, the max...
Sparad:
| Huvudupphovsmän: | , , |
|---|---|
| Materialtyp: | EJournal Article |
| Publicerad: |
Universitas Ahmad Dahlan,
2019-10-29.
|
| Ämnen: | |
| Länkar: | Get Fulltext |
| Taggar: |
Lägg till en tagg
Inga taggar, Lägg till första taggen!
|
Internet
Get Fulltext3rd Floor Main Library
| Signum: |
A1234.567 |
|---|---|
| Exemplar 1 | Tillgänglig |