针对指纹特征提取后出现的大量边界伪特征点，研究了一种利用局部方差的大小作为阀值滤除伪点的算法。
Propose a algorithm on how to delete the false points exist at the edge of fingerprint image by using the values of local variance.
没错，有些时候必须借助于反复试验才能找到伪错误和有用的结果之间的平衡点。
That's right; you sometimes have to resort to trial and error to find the right tradeoff between false positives and useful results.
清单1中假定的示例(伪代码)和下面的清单2更清楚地说明了这一点。
The hypothetical sample (pseudocode) in Listing 1 and Listing 2 below make it clearer.
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