公开(公告)号：US20070230754A1

公开(公告)日：2007-10-04

申请号：US11692524

申请日：2007-03-28

Applicant: Anil K. Jain ,  Yi Chen ,  Meltem Demirkus

Inventor： Anil K. Jain ,  Yi Chen ,  Meltem Demirkus

IPC: G06K9/00

CPC classification number: G06K9/00093

Abstract: Fingerprint recognition and matching systems and methods are described that utilize features at all three fingerprint friction ridge detail levels, i.e., Level 1, Level 2 and Level 3, extracted from 1000 ppi fingerprint scans. Level 3 features, including but not limited to pore and ridge contour characteristics, were automatically extracted using various filters (e.g., Gabor filters, edge detector filters, and/or the like) and transforms (e.g., wavelet transforms) and were locally matched using various algorithms (e.g., the iterative closest point (ICP) algorithm). Because Level 3 features carry significant discriminatory and complementary information, there was a relative reduction of 20% in the equal error rate (EER) of the matching system when Level 3 features were employed in combination with Level 1 and Level 2 features, which were also automatically extracted. This significant performance gain was consistently observed across various quality fingerprint images.

Abstract translation: 描述了使用从1000ppi指纹扫描中提取的所有三个指纹摩擦脊细节级别（即1级，2级和3级）的特征的指纹识别和匹配系统和方法。 使用各种滤波器（例如，Gabor滤波器，边缘检测器滤波器等）和变换（例如，小波变换）自动提取3级特征，包括但不限于孔和脊轮廓特征，并且使用 各种算法（例如，迭代最近点（ICP）算法）。 由于3级特征具有重要的歧视和补充信息，因此当使用3级特征与1级和2级特征相结合时，匹配系统的同等误码率（EER）相对降低了20％ 自动提取。 在各种质量指纹图像中一直观察到显着的性能增益。