Research Article
A Novel SVM Network Using HOG Feature for Prohibition Traffic Sign Recognition
Table 9
The result of parameter granularity refinement.
| | Constraint parameter | Final value of constraint parameter | Classification correct rate |
| | P1 | 0.88 | 84.62% | | P2 | 3.99 | 83.70% | | P3 | 3.00 | 82.20% | | P4 | 1.00 | 90.67% | | P5 | 8.54 | 91.67% | | P6 | 8.30 | 84.00% | | P7 | 0.57 | 92.86% | | P8 | 4.29 | 93.33% | | P9 | 5.26 | 81.82% | | P10 | 0.75 | 97.25% | | P11 | 4.30 | 94.23% | | P12 | 0.18 | 97.78% | | P13 | 0.12 | 100.00% | | P14 | 0.13 | 100.00% | | P15 | 2.07 | 93.33% | | P16 | 1.21 | 90.91% | | P17 | 0.50 | 95.83% | | Total | 90.80% |
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