Table 4.

Comparison of the proposed method with two recent state-of-the-art methods.

Methods	Precision (%)	Recall (%)	F1(%)
Deep Hough Transform [44]	94.7 (±6.4)	87.5 (±9.9)	90.1 (±8.7)
PPGNet [45]	95.0 (±3.5)	87.6 (±5.5)	91.0 (±3.5)
Proposed Method	98.7 (±1.6)	91.9 (±4.3)	95.1 (±2.9)