会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 2. 发明授权
    • Robust biometric feature extraction with and without reference point
    • 具有和不具有参考点的鲁棒生物特征提取
    • US08655026B2
    • 2014-02-18
    • US13378208
    • 2010-06-17
    • Antonius Hermanus Maria AkkermansSabri BoughorbelDirk Jeroen BreebaartAlphons Antonius Maria Lambertus BruekersBerk GokberkKoen Theo Johan De GrootEmile Josephus Carlos KelkboomThomas Andreas Maria KevenaarAweke Negash Lemma
    • Antonius Hermanus Maria AkkermansSabri BoughorbelDirk Jeroen BreebaartAlphons Antonius Maria Lambertus BruekersBerk GokberkKoen Theo Johan De GrootEmile Josephus Carlos KelkboomThomas Andreas Maria KevenaarAweke Negash Lemma
    • G06K9/00
    • G06K9/0008G06K9/00067G06K9/036G06K9/629G06K9/6292
    • 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 αr. 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.
    • 本发明的基本思想是当生成个体的生物特征模板时,选择性地采用至少两种不同的特征提取过程中的一种。 个体向生物特征提供生物特征,例如指纹,虹膜,耳朵,面部等,从中可以将生物特征数据导出到注册机构的传感器。 在下文中,要讨论的属性将是指纹,即使可以使用任何合适的生物特征属性。 从指纹,导出生物特征数据的位置参考点。 可以使用多种已知方法中的任何适当的方法来实现位置参考点的推导。 这样的参考点可以是核心的位置,三角形,细节坐标的加权平均值,或类似的。 通常,参考点包括表示为由xr,yr和角度α表示的三维坐标的指纹核心。 针对导出的位置参考点计算贡献指标,并且确定导出的位置参考点是否可以被认为是可靠的。 根据导出的参考点的可靠性,选择两个不同特征提取过程之一; 使用导出的参考点不变的方法来提取第一特征集,或者使用考虑到导出的参考点的方法。 参考点的估计越好,参考点依赖性提取方法越可靠。 最后,使用提取的第一特征集生成生物特征模板。
    • 4. 发明申请
    • ROBUST BIOMETRIC FEATURE EXTRACTION WITH AND WITHOUT REFERENCE POINT
    • 具有和没有参考点的稳定的生物特征提取
    • US20120087550A1
    • 2012-04-12
    • US13378208
    • 2010-06-17
    • Antonius Hermanus Maria AkkermansSabri BoughorbelDirk Jeroen Breebaart BreebaartAlphons Antonius Maria Lambertus BruekersBerk GokberkKoen Theo Johan De GrootEmile Josephus Carlos KelkboomThomas Andreas Maria KevenaarAweke Negash Lemma
    • Antonius Hermanus Maria AkkermansSabri BoughorbelDirk Jeroen Breebaart BreebaartAlphons Antonius Maria Lambertus BruekersBerk GokberkKoen Theo Johan De GrootEmile Josephus Carlos KelkboomThomas Andreas Maria KevenaarAweke Negash Lemma
    • G06K9/00
    • G06K9/0008G06K9/00067G06K9/036G06K9/629G06K9/6292
    • 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 enrolment 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 αr. 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.
    • 本发明的基本思想是当生成个体的生物特征模板时,选择性地采用至少两种不同的特征提取过程中的一种。 个体向生物特征提供生物特征,例如指纹,虹膜,耳朵,面部等,从中可以将生物特征数据导出到注册机构的传感器。 在下文中,要讨论的属性将是指纹,即使可以使用任何合适的生物特征属性。 从指纹,导出生物特征数据的位置参考点。 可以使用多种已知方法中的任何适当的方法来实现位置参考点的推导。 这样的参考点可以是核心的位置,三角形,细节坐标的加权平均值,或类似的。 通常,参考点包括表示为由xr,yr和角度αr表示的三维坐标的指纹的核心。 针对导出的位置参考点计算贡献指标,并且确定导出的位置参考点是否可以被认为是可靠的。 根据导出的参考点的可靠性,选择两个不同特征提取过程之一; 使用导出的参考点不变的方法来提取第一特征集,或者使用考虑到导出的参考点的方法。 参考点的估计越好,参考点依赖性提取方法越可靠。 最后,使用提取的第一特征集生成生物特征模板。
    • 10. 发明授权
    • Biometric template similarity based on feature locations
    • 基于特征位置的生物特征模板相似性
    • US07925055B2
    • 2011-04-12
    • US11570045
    • 2005-06-02
    • Thomas Andreas Maria KevenaarAntonius Hermanus Maria Akkermans
    • Thomas Andreas Maria KevenaarAntonius Hermanus Maria Akkermans
    • G06K9/00
    • G06K9/00087G06K9/6212H04L9/3278H04L2209/805
    • The present invention relates to a method and a system of determining correspondence between location sets. A basic idea of the present invention is to provide a scheme in which correspondence between location sets is determined. A feature location set (X) comprising a number (n+1) of components is transformed into a feature vector that can be used in an HDS. Therefore, a feature density function (ƒjs(x)) is created. A feature vector (XF) for the HDS is chosen to be a sampled version of the feature density function (ƒX,g(x) ), which results in feature vectors of equal and finite dimensions regardless of the number (n+1) of features that are present in the biometric template XT from which the location sets is derived. Thereafter, a distance (d) between two feature location sets (X, Y) is determined. The distance (d) between the sets is chosen to be the Euclidian distance between the corresponding feature density functions.
    • 本发明涉及一种确定位置集之间的对应关系的方法和系统。 本发明的基本思想是提供一种方案,其中确定位置集之间的对应关系。 包括数量(n + 1)个分量的特征位置集合(X)被转换成可用于HDS的特征向量。 因此,创建特征密度函数(ƒjs(x))。 选择用于HDS的特征向量(XF)作为特征密度函数(ƒX,g(x))的采样版本,其导致相等和有限尺寸的特征向量,而不管数量(n + 1) 存在于生物特征模板XT中的特征,从中导出位置集。 此后,确定两个特征位置组(X,Y)之间的距离(d)。 集合之间的距离(d)被选择为相应的特征密度函数之间的欧几里德距离。