Poincare Index与复数滤波相结合的指纹奇异点提取算法

提出了一种使用Poincare Index与复数滤波相结合的方法提取指纹奇异点的方法。首先,使用Poincare Index方法提取指纹图像奇异点,由于Poincare Index易受噪声干扰而提取伪奇异点,使用复数滤波检测备选奇异点的邻近区域,判断该奇异点的可信程度,从而确定奇异点。该方法消除了Poincare Index对噪声敏感、容易提取伪奇异点的缺陷,也弥补了复数滤波无法准确找到奇异点位置的不足。通过实验验证,用该方法提取指纹奇异点取得了很好的效果。

Singular Point Detection in Fingerprints by Combining Poincare Index and Complex Filter

A singular point detection method by combining Poincare Index and complex filter was proposed in this paper.At first,Poincare Index was used to detect singular points.Because Poincare Index is susceptible to noise which leads to false singular points,complex filter was involved to the region near the singular points detected to value the credibility of the singular point and determine the authenticity.This method avoided the defect of Poincare Index which was sensitive to noise and mended the weakness of complex filter which could not fix the position of singular points.Through experiments,our approach has successfully detected the singular points in fingerprints.