【摘要】 在指纹方向场分割的基础上提出了一种称之为方向丰富度的特征,并据此形成了一种有效的指纹奇异点提取方法。该方法首先将指纹方向场分割为一系列互不重叠的同质区域;然后通过同质区域边缘检测及边缘端点提取实现了奇异点快速定位;最后依据已定位点的poincare index值确定奇异点类型。与目前占据绝对主流的poincare index方法在FVC2002指纹库上的对比实验表明:在准确性方面,两者各有优、缺点,该文方法的误检率明显低于后者,漏检率略高于后者;在简单实用性方面,该文算法的平均提取速度是后者的14.2倍,具有明显优势。更多还原

【Abstract】 Authors introduce a new feature called Orientation Abundance Degree(OAD) based on fingerprint’s orientation segmentation,and propose an effective method for detection of fingerprint’s SP by using OAD.In this method,fingerprint’s orientation is partitioned into a series of non-overnapping homogeneous areas firstly;then SPs are rapidly localized through edges detection of homogeneous areas and end-points extraction of edges;finally,the types of SPs are distinguished according to the Poincare Index value.Compared with the Poincare Index method(PI),experiments on FVC2002 show that:for the performance of accuracy,the False Detecting Ratio(FDR) of our method is much lower than PI’s FDR,and the Missed Detecting Ratio(MDR) is a little higher than PI’s MDR;for the performance of practicality,our method owns obvious superiority,the speed of our method is 14.2 times faster than PI.更多还原