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    • 13. 发明申请
    • Identification System Using Mechanical Vibrations on Identifier
    • 识别系统使用机械振动标识符
    • US20080159529A1
    • 2008-07-03
    • US11568477
    • 2005-05-03
    • Ronaldus Maria AartsAntonius Hermanus Maria AkkermansPim Theo Tuyls
    • Ronaldus Maria AartsAntonius Hermanus Maria AkkermansPim Theo Tuyls
    • H04L9/00H04L9/32
    • G06K19/10G06K19/18
    • The invention relates to an identification system, wherein the identifier is a body comprising an inhomogeneous material, which body is identified by subjecting it to mechanical vibrations, in particular acoustic vibrations, observing how the propagation of this mechanical vibrations is affected by inhomogeneities present in the body, and recognizing the body on the basis of a previous observation. Such an identifier body can be associated with an information carrier, allowing for the authentication of the information carrier, and for a conditional access or a copy protection scheme which can be relied upon. The acoustic identification according to the invention can be seen as an alternative to the optical identification of a body, which is known in the art, which alternative, compared to the optical identification, is characterized by higher robustness, various simplifications in the identification system and lower costs of implementation. The invention can also be applied for the generation of keys.
    • 本发明涉及一种识别系统,其中标识符是包括不均匀材料的主体,该主体通过使其受到机械振动特别是声振动来识别,观察该机械振动的传播如何受到存在于 身体,并在以前的观察的基础上承认身体。 这样的标识符主体可以与信息载体相关联,允许信息载体的认证,以及可以依赖的条件访问或复制保护方案。 根据本发明的声学识别可以被看作是本领域已知的身体的光学识别的替代方案,与光学识别相比,其特征在于更高的鲁棒性,识别系统中的各种简化和 降低执行成本。 本发明也可以应用于密钥的生成。
    • 14. 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。