Table 4.

Comparison analysis of existing with proposed method

References	Method	Accuracy	Specificity	Sensitivity
Blagus R et al (2013) [9]	Multi branch neural network	91.51%	90.90%	92.33%
Mojab N et al (2019) [10]	Deep CNN	79.04%	88.95%	79.04%
Bajwa M N et al (2019) [11]	Two-stage framework RCNN	95.45%	93.45%	96.43%
Burlina P et al (2016) [12]	SVM Classifier	95.00%	95.60%	96.40%
Tan J H et al (2018) [19]	Deep CNN	93.45%	96.43%	79.04%
Chai et al (2018) [18]	RCNN	91.51%	90.90%	92.33%
Our proposed model	CNN with SoftMax	93.80%	100.00%	85.40%
	CNN with SVM	95.60%	100.00%	89.50%