And then a Gray-Feather matching algorithm is put forward. According to some improvements in respect of real-time character, a good target recognition algorithm with low error probability in recognizing and high veracity is obtained.
本文在分析了现有的目标识别方法优缺点的基础上,提出了一种灰度与特征匹配相结合的识别方法,并从实时性等方面对算法进行了改进,得到了一种误识别率低、准确性高且能用于实时目标跟踪系统中的目标识别方法。
参考来源 - 一种灰度与特征匹配相结合的混合算法·2,447,543篇论文数据，部分数据来源于NoteExpress
实验表明这种方法不仅降低了误识别率，而且取得了比较理想的识别效果。
The experiment indicates this measure can reduce the rate of error identification and the results of pattern recognition are relative well.
实验证明该算法可实现对视频流中人手的实时定位和跟踪，较之原有算法提高了识别速度和精度，降低了误识别率。
Experiments show that compared with the original algorithm, this identification method improves the speed and accuracy of recognition, reduces false recognition rate.
实验证明，用该算法实现的车牌字符识别系统识别率高，误识率低，可直接用于实际的牌照自动识别系统。
The experiment proves that the LPR system based on this algorithm shows a higher recognition rate and lower error recognition rate, and can find a direct application in practical LPR system.
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