Experiments are performed on the NIST database to acquire the comparison of the searching efficiency and generalized recognition rate. 实验在NIST数据集上进行了验证,对搜索效率和推广识别率(RR)进行了比较。
Changing illumination condition can change the result of image segmentation algorithm and reduce the intelligent recognition rate. 变化的光照环境能够改变图像分割算法的结果,并最终降低智能识别的识别率(RR)。
Compared with other classical algorithms, the proposed algorithm can recognize more structures and improve the recognition rate. 与其他经典算法比较,所提算法扩大了识别的结构,同时识别正确率有所提高。
The system has a high recognition rate. 系统具有较高的识别率(RR)。
The experimental results show the algorithm is superior in terms of recognition rate and equal error rate. 实验结果验证了本算法具有很好的识别率(RR)和等错率。