Research Article
A Novel SVM Network Using HOG Feature for Prohibition Traffic Sign Recognition
Table 7
The correspondence table between constraint parameters and TCR during iteration.
| Number of iterations | Constraint parameter | TCR | Number of iterations | Constraint parameter | TCR |
| 1 | P6 | 82.00% | 21 | P2 | 90.56% | 2 | P9 | 82.49% | 22 | P1 | 90.56% | 3 | P3 | 84.42% | 23 | P4 | 90.56% | 4 | P5 | 85.96% | 24 | P16 | 90.56% | 5 | P8 | 87.09% | 25 | P5 | 90.56% | 6 | P16 | 87.17% | 26 | P7 | 90.56% | 7 | P2 | 88.30% | 27 | P8 | 90.56% | 8 | P1 | 88.38% | 28 | P15 | 90.56% | 9 | P15 | 88.46% | 29 | P11 | 90.64% | 10 | P4 | 88.46% | 30 | P17 | 90.64% | 11 | P11 | 88.70% | 31 | P10 | 90.64% | 12 | P7 | 88.78% | 32 | P12 | 90.64% | 13 | P10 | 88.78% | 33 | P13 | 90.64% | 14 | P17 | 88.78% | 34 | P14 | 90.64% | 15 | P12 | 88.86% | 35 | P9 | 90.72% | 16 | P13 | 89.27% | 36 | P3 | 90.72% | 17 | P14 | 89.27% | 37 | P2 | 90.72% | 18 | P9 | 90.23% | 38 | P6 | 90.72% | 19 | P6 | 90.56% | 39 | P1 | 90.72% | 20 | P3 | 90.56% | 40 | P4 | 90.72% |
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