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特征比的英文

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"特征比"怎么读用"特征比"造句

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  • characteristic ratio

例句与用法

  • We record the feature ' s x , y coordinates and it ' s orientation for the purpose of fingerprint matching . minutiae match
    通过对aniljain等人工作的改进,我们提出了自己的特征比对算法。
  • Feature extraction . according to the fbi ' s recommendation , we extract the ridge ' s ending and ridge ' s bifurcation as the representation of the original image
    我们记录了特征点的x , y坐标信息和和特征点所在局部纹线的方向,以便利用该信息进行下一步的特征比对。
  • But the change of reflection coefficient is three times as much as the change of velesity resulted from fractured density , which shows that dynamical characteristic of seismic wave is more sensitive to fracture than kinetic characteristic
    而对于同级别的裂缝密度,反射系数的变化量是其速度变化量的3倍左右。揭示了地震波的动力学特征比其运动学特征对裂隙更敏感。
  • The identification rate of the former could be above 90 % , whereas the later is below 80 % . for three kinds of targets involving sand , grit and sullage , the feature of singular values excels that of invariant moment , the identification of the former could be to 92 % , whereas the later is 84 % . analyzing the features this dissertation extracts , we can find that the features of rock and sullage are more similar , so do pebble and grit , and the features of sand are obviously distinguished
    分类结果发现,对于以上五类目标,利用直方图有关参数作为分类特征比奇异值特征有效,前者效果可达90以上,而后者低于80 ;对于沙、砂砾、淤泥三类目标而言,奇异值特征比不变矩特征更为有效,前者效果可达92以上,而后者为84 ;从本文中抽取的特征如直方图的参数以及奇异值来看,岩石与淤泥的特征比较接近,而卵石与砂砾的特征比较接近,沙的特征则与其他四类有明显区别。
  • According to the fact that the basic features of apalmprint , including principal lines , wrinkles and ridges , havedifferent resolutions , in this paper we analyze palmprints using amulti - resolution method and define a novel palmprint feature , whichcalled wavelet energy feature , based on the wavelet transform . wef can reflect the wavelet energy distribution of the principal lines , wrinkles and ridges in different directions at different resolutions scales , thus it can efficiently characterize palmprints . this paperalso analyses the discriminabilities of each level wef and , according to these discriminabilities , chooses a suitable weight for each levelto compute the weighted city block distance for recognition . theexperimental results show that the order of the discriminabilities ofeach level wef , from strong to weak , is the 4th , 3rd , 5th , 2nd and 1stlevel
    作为对现有人体生物特征识别技术的重要补充,掌纹识别有着其独特的优点:掌纹比指纹含有更多的可区分信息掌纹采集设备的价格比虹膜采集设备的价格要低廉得多掌纹特征比签名特征更为稳定掌纹识别可获得比人脸识别更高的识别精度掌纹含有独特的线特征包括主线和皱褶,这些线特征具有很强的区分能力,并可以在低分辨率图像中提取出来可以将手掌上的各种特征融合在一起建立一个高精度的生物识别系统等。
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