SI. No | Method | Accuracy (%) | Processing Time |
1 | Proposed Method | 97.22% | 0.01 s |
2 | Image processing techniques, existing global detection method [53] | 97.472% | 0.0218 s |
3 | Visual Saliency & Deep Learning [54] | 92.3% | 0.06 s |
4 | Segmentation Techniques [24] | 81.19% | 0.009 s |
5 | Weighted Feature Fusion and R-CNN [55] | 95.95% | 0.42 s |
6 | Feature extraction algorithm, pairing algorithm [56] | 95.3% | 0.08 s |
7 | Automatic multilevel thresholding, matching algorithm [21] | 90% | 0.03 s |