TABLE 3. Result Summary for Both Benchmark Datasets.

Method		Identification Accuracy (%)
		dataset Montgomery	dataset Shenzhen
SVM [15]		79.1	–
CNN [25]		82	84
CNN [17]		75.8	85.5
AlexNet [12]		71.42	84.21
VGG16 [26]		75	81.20
VGG19 [26]		78.57	84.21
ResNet [45]		82.14	83.45
Baseline – CNN	Arc-1	89.47	78.57
	Arc-2	92.85	85.71
	Arc-3	90.22	82.14
Proposed B-CNN	Arc-1	90.22	82.14
	Arc-2	96.42	86.46
	Arc-3	92.85	85.71