Abstract: Systems and methods for measuring skin tone. A camera and computer may measure skin tone health of a face dataset and color quality of a single face image. The computer and camera may measure skin tone across wide sample of volunteers, express skin tone in CIELCH coordinates; and identify the range of observed lightness, chromaticity, and hue values in the population to determine a sample set. The computer and camera may be configured to match the image to a coordinate system of lightness, chromaticity, and hue in the sample set. If a match is not possible, the computer may be configured to select a coordinate closest to the measured lightness, chromaticity, and hue.

Abstract: A system for generating a privacy protected image. The system may have a detection logic and obscuring logic configured to detect one or more identity-correlated object categories. The system may provide automatic selection of a type of obscuring to be used based on the detected category; wherein said automatic selection includes automatically selecting among a plurality of different, category specific types of reversible obscuring. The detection logic and obscuring logic may include an automatic category-specific selecting between irreversible obscuring and reversible obscuring. The system may comprise a privacy protected image output logic configured to generate the privacy protected image.

Abstract: Systems and methods for secure distribution of biometric matching processing are provided. Certain configurations include homomorphic encrypting of captured biometric information. In some configurations, the biometric information is classified without decryption between a first identity class and a second identity class. The biometric information may be formed as a feature vector. A homomorphic encrypted feature vector may be formed by homomorphic encrypting of the biometric information.

Abstract: Systems and methods for secure distribution of biometric matching processing are provided. Certain configurations include homomorphic encrypting of captured biometric information. In some configurations, the biometric information is classified without decryption between a first identity class and a second identity class. The biometric information may be formed as a feature vector. A homomorphic encrypted feature vector may be formed by homomorphic encrypting of the biometric information.

Abstract: Systems and methods for secure distribution of biometric matching processing are provided. Certain configurations include homomorphic encrypting of captured biometric information. In some configurations, the biometric information is classified without decryption between a first identity class and a second identity class. The biometric information may be formed as a feature vector. A homomorphic encrypted feature vector may be formed by homomorphic encrypting of the biometric information.

Abstract: Systems and methods for secure distribution of biometric matching processing are provided. Certain configurations include homomorphic encrypting of captured biometric information. In some configurations, the biometric information is classified without decryption between a first identity class and a second identity class. The biometric information may be formed as a feature vector. A homomorphic encrypted feature vector may be formed by homomorphic encrypting of the biometric information.

Abstract: Systems and methods for providing exception failover augmented, homomorphic encrypted (HE) distributing, end-to-endpoint persistent encryption, and distributed HE domain non-decrypting, privacy-protective biometric processing are provided. Some configurations may include generating HE biometric feature data, based on homomorphic encrypting the biometric feature data. Some configurations determine an exception status of the HE biometric feature data between exception and non-exception. Systems and methods may include performing a HE domain, non-decrypting biometric classifying of the HE biometric feature data.

Abstract: Systems and methods for secure distribution of biometric matching processing are provided. Certain configurations include homomorphic encrypting of captured biometric information. In some configurations, the biometric information is classified without decryption between a first identity class and a second identity class. The biometric information may be formed as a feature vector. A homomorphic encrypted feature vector may be formed by homomorphic encrypting of the biometric information.

Abstract: Systems and methods for secure distribution of biometric matching processing are provided. Certain configurations include homomorphic encrypting of captured biometric information. In some configurations, the biometric information is classified without decryption between a first identity class and a second identity class. The biometric information may be formed as a feature vector. A homomorphic encrypted feature vector may be formed by homomorphic encrypting of the biometric information.

Abstract: Systems and methods for providing exception failover augmented, homomorphic encrypted (HE) distributing, end-to-endpoint persistent encryption, and distributed HE domain non-decrypting, privacy-protective biometric processing are provided. Some configurations may include generating HE biometric feature data, based on homomorphic encrypting the biometric feature data. Some configurations determine an exception status of the HE biometric feature data between exception and non-exception. Systems and methods may include performing a HE domain, non-decrypting biometric classifying of the HE biometric feature data.

Abstract: Systems and methods for secure distribution of biometric matching processing are provided. Certain configurations include homomorphic encrypting of captured biometric information. In some configurations, the biometric information is classified without decryption between a first identity class and a second identity class. The biometric information may be formed as a feature vector. A homomorphic encrypted feature vector may be formed by homomorphic encrypting of the biometric information.

Abstract: Systems and methods for providing exception failover augmented, homomorphic encrypted (HE) distributing, end-to-endpoint persistent encryption, and distributed HE domain non-decrypting, privacy-protective biometric processing are provided. Some configurations may include generating HE biometric feature data, based on homomorphic encrypting the biometric feature data. Some configurations determine an exception status of the HE biometric feature data between exception and non-exception. Systems and methods may include performing a HE domain, non-decrypting biometric classifying of the HE biometric feature data.

Abstract: Systems and methods for providing exception failover augmented, homomorphic encrypted (HE) distributing, end-to-endpoint persistent encryption, and distributed HE domain non-decrypting, privacy-protective biometric processing are provided. Some configurations may include generating HE biometric feature data, based on homomorphic encrypting the biometric feature data. Some configurations determine an exception status of the HE biometric feature data between exception and non-exception. Systems and methods may include performing a HE domain, non-decrypting biometric classifying of the HE biometric feature data.

Abstract: Systems and methods for providing exception failover augmented, homomorphic encrypted (HE) distributing, end-to-endpoint persistent encryption, and distributed HE domain non-decrypting, privacy-protective biometric processing are provided. Some configurations may include generating HE biometric feature data, based on homomorphic encrypting the biometric feature data. Some configurations determine an exception status of the HE biometric feature data between exception and non-exception. Systems and methods may include performing a HE domain, non-decrypting biometric classifying of the HE biometric feature data.

Abstract: A system for generating a privacy protected image. The system may have a detection logic and obscuring logic configured to detect one or more identity-correlated object categories. The system may provide automatic selection of a type of obscuring to be used based on the detected category; wherein said automatic selection includes automatically selecting among a plurality of different, category specific types of reversible obscuring. The detection logic and obscuring logic may include an automatic category-specific selecting between irreversible obscuring and reversible obscuring. The system may comprise a privacy protected image output logic configured to generate the privacy protected image.

Abstract: Systems and methods are disclosed and an example system includes a digital image receiver for receiving a digital image, and an automatic obscuration processor coupled to the image receiver and configured to determine whether the digital image includes a region that classifies as an image of a category of object and, upon a positive determination, to obscure the region and output a corresponding obscured-region digital image.

Abstract: In an example, information related to a user of a mobile device and to an item associated with the user is received from a network. Based on the information a screening threshold is determined. The screening threshold is communicated to an electronic physical screening device and a direction instruction, indicating a location of a physical screening area corresponding to the electronic physical screening device, is communicated to the mobile device. The direction instruction causes the mobile device to display a direction information, directing the user to the physical screening area, for a physical screening in accordance with the threshold.

Abstract: Systems and methods are disclosed and an example system includes a digital image receiver for receiving a digital image, and an automatic obscuration processor coupled to the image receiver and configured to determine whether the digital image includes a region that classifies as an image of a category of object and, upon a positive determination, to obscure the region and output a corresponding obscured-region digital image.

Abstract: Collection, validation, accuracy checking, and matching of information for individuals, e.g., in-scope people entering/exiting a country is described. The systems, techniques, devices, methods, and approaches described herein can be used to collect biographic, biometric, and travel information for persons who enter a country with the expectation that the person will eventually exit. The system and method described herein include structures and procedures for determining whether the individual, based on his/her information, meets a predefined criterion that is associated with predefined procedures, e.g., special precautions are to be implemented. This document also describes how information for an individual can be matched with an existing record in order to ensure accurate recordkeeping.

Abstract: Systems, devices and methods for use in biometric identification are disclosed for use resolution of ambiguity as to what identity is being asserted and/or which reference identities are to be used to build a gallery for identification. In implementations, are described to resolve ambiguity and in particular situations in which a unique authoritative identifier is unavailable for use in locating relevant references to serve as the basis for biometric matching and identification.