该工作由电子科技大学陈昂、刘俊凯、夏子寒同学完成。我们提出可以使用深度学习的方案对中国车牌进行检测和识别。我们提出使用YOLOv3网络进行车牌检测,然后创新性地对检测后的车牌使用空间变换网络STN加以校正,最后使用LPRNet网络进行车牌的字符与数字识别。目前实测结果,在老师提供的45张数据集上,我们的YOLOv3网络检测准确率(IOU)达到98.2%,深度学习级联网络识别准确率为95.6%。我们采用大量测试集,最终我们的YOLOv3_STN_LPRNet级联网络识别准确率稳定在93.3%,不加空间变换网络STN的话,识别准确率在66%左右。 总体来说,使 用深度学习的方案比传统方案效果提升的非常好,而且我们加入空间变换网络STN的做法对于提升识别准确率很有效。
☆80Jul 22, 2020Updated 5 years ago
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