汽车胎号识别系统要求胎号识别方法具有极高的识别正确率和置信度。
High recognition correct rate and confidence level are needed in the autocar tire number recognition system, so the recognition method is studied.
经实验室测试证明，本文设计的开关图像处理过程识别正确率达到97%。
Experiments in lab proved that the correct ratio of the image processing procedure presented in this paper has achieved 97%.
作为输入的FTIR特征谱峰不同时，则网络的平均分类识别正确率也不同。
The mean accurate rate of recognition of the LVQ neural network would be different, as the input vectors comtained different kind of FTIR characteristic frequencies.
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