Research Article

Adv-Plate Attack: Adversarially Perturbed Plate for License Plate Recognition System

Table 2

CNN architecture.

Layer typeShape

Convolution+ReLU[3, 3, 64]
Convolution+ReLU[3, 3, 64]
Max pooling[2]
Convolution+ReLU[3, 3, 128]
Convolution+ReLU[3, 3, 128]
Max pooling[2]
Convolution+ReLU[3, 3, 256]
Convolution+ReLU[3, 3, 256]
Max pooling[2]
Convolution+ReLU[3, 3, 512]
Convolution+ReLU[3, 3, 512]
Max pooling[2]
Convolution+ReLU[3, 3, 512]
Convolution+ReLU[3, 3, 512]
Max pooling[2]
Fully connected+ReLU[4096]
Fully connected+ReLU[512]
Softmax[36]