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Robust biometric feature extraction with and without reference points

机译:带有和不带有参考点的鲁棒生物特征提取

摘要

A basic idea of the present invention is to selectively employ one of at least two different feature extraction processes when generating a biometric template of an individual. An individual offers a physiological property, such as a fingerprint, an iris, an ear, a face, etc., from which biometric data can be derived, to a sensor of an enrollment authority. In the following, the property to be discussed will be fingerprints, even though any suitable biometric property may be used. From the fingerprint, a positional reference point of the biometric data is derived. The derivation of the positional reference point may be accomplished using any appropriate method out of a number of known methods. Such a reference point could be the location of a core, a delta, a weighted average of minutiae coordinates, or alike. Typically, the reference point includes a core of a fingerprint expressed as a three-dimensional coordinate denoted by means of xr, yr, and angle alphar. A contribution indicator is calculated for the derived positional reference point, and it is determined whether the derived positional reference point can be considered reliable. Depending on the reliability of the derived reference point, one of the two different feature extraction processes is selected; either the first feature set is extracted using a method which is invariant of the derived reference point, or a method is used taking into account the derived reference point. The better the estimation of the reference point is, the more reliable the reference point-dependent extraction method is. Finally, the biometric template is generated using the extracted first feature set.
机译:本发明的基本思想是在生成个体的生物特征模板时选择性地采用至少两个不同特征提取过程之一。个人向注册机构的传感器提供生理特性,例如指纹,虹膜,耳朵,面部等,可以从中导出生物特征数据。在下文中,即使可以使用任何合适的生物统计特性,待讨论的特性也将是指纹。从指纹中导出生物数据的位置参考点。可以使用许多已知方法中的任何适当方法来完成位置参考点的推导。这样的参考点可以是核心的位置,增量,细节坐标的加权平均值等。通常,参考点包括指纹的核心,该指纹的核心表示为通过xr,yr和角度alphar表示的三维坐标。为导出的位置参考点计算贡献指标,并确定导出的位置参考点是否可以被认为是可靠的。根据导出参考点的可靠性,选择两种不同的特征提取过程之一。或者使用不变的方法来提取第一特征集,或者使用考虑到所得出的参考点的方法。参考点的估计越好,依赖于参考点的提取方法越可靠。最后,使用提取的第一特征集生成生物特征模板。

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