Table 5.

Comparison of the proposed method with other algorithms, and classifier results.

Method	Recognition Rate (%)	Proposed Method with Four Different Classifiers (%)	Classification Rate (%)
R-CNN algorithm [50]	79.34	Linear regression	99.04%
FRR-CNN algorithm [51]	70.63	Random forest	99.8%
CNN-Edge detection method [52]	88.86	Gradient boosting	99.42%
Our proposed method	91.2