Table 4.
Comparative analysis of proposed work with previous works
| Parameter | Accuracy score | Method |
|---|---|---|
| Gumaei et al. [16] | 94.23 | FNN |
| Sajjad et al. [17] | 94.50 | VGG-19 |
| Swati et al. [18] | 94.80 | VGG-19 |
| Abiwinanda et al. [19] | 84.10 | CNN |
| Sultan et al. [20] | 96.10 | CNN |
| Anaraki et al. [21] | 94.20 | CNN + GA |
| Badza et al. [22] | 96.56 | CNN |
| Gunasekara et al. [23] | 92.00 | CNN and AC |
| Masood et al. [24] | 95.90 | RCNN + ResNet-50 |
| Díaz-Pernas et al. [25] | 97.00 | CNN |
| Irmak [26] | 92.60 | CNN |
| Saeedi et al. [27] | 93.44 | CNN + AE |
| Proposed CNN | 97.00 | 12 CNN |
RCNN – region-based Convolution neural network