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Biometric feature extraction using multiple image instantiations

机译:使用多个图像实例化的生物识别特征提取

摘要

Systems and methods acquire and/or generate multiple different images of the same biometric identity, identify specific instances of biometric features in each of the different images, and merge the identified specific instances of biometric features into a data record that provides a digital representation of the biometric identity. Examples of biometric identities include fingerprints, handprints, palm prints, and thumbprints. In one embodiment, a counter is associated with each specific instance of a biometric feature found in the multiple images. Specific instances of biometric features found most frequently have high counts and are indicative of true identifications; those with low counts are indicative of false identifications. A threshold distinguishes between true and false identifications. Those specific instances with counts below the threshold are excluded when the digital representation of the biometric identity is generated. Thus, the methodology eliminates false identifications of specific instances of biometric features while accentuating true identifications.
机译:的系统和方法获取和/或生成相同的生物特征身份的多个不同的图像,识别的生物统计特征的具体实例中每个不同的图像,和生物计量特征的识别的特定实例合并成一个数据记录,其提供的数字表示生物识别身份。生物识别身份的例子包括指纹,掌印,掌纹,指纹和。在一个实施例中,一个计数器与在所述多幅图像中发现的生物统计特征的每个特定实例相关联。的生物特征的具体情况找到最常见的有高数和指示标识真实的;那些低计数指示虚假鉴定的。阈值真假识别区分。生成生物测定身份的数字表示当与低于阈值的计数的那些具体实例被排除在外。因此,该方法消除了生物特征的具体实例的虚假鉴定,同时加剧真正的标识。

著录项

  • 公开/公告号US11087114B2

    专利类型

  • 公开/公告日2021-08-10

    原文格式PDF

  • 申请/专利权人 AWARE INC.;

    申请/专利号US201916574975

  • 发明设计人 TARAS P. RIOPKA;PRANAB MOHANTY;LIMIN MA;

    申请日2019-09-18

  • 分类号G06K9;G06K9/62;

  • 国家 US

  • 入库时间 2022-08-24 20:28:59

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