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Estimation of Fingerprint Orientation Field by Weighted 2D Fourier Expansion Model

机译:加权二维傅立叶展开模型估计指纹取向场

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Accurate estimation of fingerprint orientation field is an essential module in fingerprint recognition. This paper proposes a novel technique for improving fingerprint orientation field estimation by fingerprint orientation model based on weighted 2D fourier expansion(W-FOMFE). The motivation for the proposed method can be found by: 1)the original FOMFE is sensitive to abrupt changes in orientation field; 2) blocks of different quality should have different impacts on FOMFE. Thus, we take into account the information of the Harris-corner strength (HCS) for orientation field estimation. In our method, we first calculate the fingerprintȁ9; HCS; then use the HCS to remove abrupt changes in orientation field; finally, incorporate the normalized HCS as weighted value into original FOMFE. We test our method on FVC2004DB1. Experimental results show that our method (W-FOMFE) has better orientation field estimation than FOMFE.
机译:指纹取向场的准确估计是指纹识别中必不可少的模块。提出了一种基于加权二维傅立叶展开(W-FOMFE)的指纹定位模型改善指纹定位场估计的新技术。提出该方法的动机可以通过以下方法找到:1)原始的FOMFE对方向场的突然变化敏感; 2)不同质量的块对FOMFE的影响应不同。因此,我们考虑了哈里斯角强度(HCS)的信息,用于定向场估计。在我们的方法中,我们首先计算指纹ȁ9; HCS;然后使用HCS移除方向字段的突然变化;最后,将归一化的HCS作为加权值合并到原始FOMFE中。我们在FVC2004DB1上测试了我们的方法。实验结果表明,我们的方法(W-FOMFE)比FOMFE具有更好的取向场估计。

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