Abstract: Provided is a cross-spectral face recognition learning method based on a set of associated face images, a thermal image and a visual image, of a plurality of persons. The thermal image is coded in two different ways. A style encoder provides a style code of the thermal image. An identity encoder provides an identity code of the thermal image. The visual image is coded in a similar way with a style encoder providing a style code and with an identity encoder providing an identity code. The two face images of the same person share in the identity features a common part in the respective identity codes, noted as common identity code, whereas the style codes for the two images comprise features only relevant two the specific style, i.e. either thermal or visual, of the image. Other embodiments disclosed.

Abstract: A medication bottle includes an outer container wall, an inner container wall and a fluid, such as an aversive liquid, located between the walls. In another aspect, the fluid is located within separate compartments or channels located between the walls where the walls contact or are secured to each other. A further aspect provides a removeable cap including multiple sensors, at least one of which is a biometric sensor.

Abstract: A passive authentication method includes, in response to receiving a requested action from a first user, obtaining a set of sensor data and categorizing first sensor data of the set of sensor data into a first modality of a set of modalities. The method includes, for the first modality of the set of modalities, determining a distance value by applying a first modality model to the first sensor data and comparing the distance value to a first verified value of the first user for the first modality. The method includes, based on the comparison, determining a first authentication decision of the distance value. The method includes, in response to the first authentication decision indicating the first sensor data corresponds to the first user, performing the requested action.

Abstract: A medication bottle includes an outer container wall, an inner container wall and a fluid, such as an aversive liquid, located between the walls. In another aspect, the fluid is located within separate compartments or channels located between the walls where the walls contact or are secured to each other. A further aspect provides a removeable cap including multiple sensors, at least one of which is a biometric sensor.

Abstract: A system and method are provided for tracking magnetically-labeled substances, such as transplanted cells, in subjects using magnetic resonance imaging (MRI).

Abstract: A medication bottle includes an outer container wall, an inner container wall and a fluid, such as an aversive liquid, located between the walls. In another aspect, the fluid is located within separate compartments or channels located between the walls where the walls contact or are secured to each other. A further aspect provides a removeable cap including multiple sensors, at least one of which is a biometric sensor.

Abstract: A passive authentication method includes, in response to receiving a requested action from a first user, obtaining a set of sensor data and categorizing first sensor data of the set of sensor data into a first modality of a set of modalities. The method includes, for the first modality of the set of modalities, determining a distance value by applying a first modality model to the first sensor data and comparing the distance value to a first verified value of the first user for the first modality. The method includes, based on the comparison, determining a first authentication decision of the distance value. The method includes, in response to the first authentication decision indicating the first sensor data corresponds to the first user, performing the requested action.

Abstract: A medication bottle includes an outer container wall, an inner container wall and a fluid, such as an aversive liquid, located between the walls. In another aspect, the fluid is located within separate compartments or channels located between the walls where the walls contact or are secured to each other. A further aspect provides a removeable cap including multiple sensors, at least one of which is a biometric sensor.

Abstract: A system and method are provided for tracking magnetically-labeled substances, such as transplanted cells, in subjects using magnetic resonance imaging (MRI).

Abstract: Conjunctival vascular images are obtained from individual's eye for purposes of creating a multi-dimension, non-iris based biometric. The biometric can be used for identification or authentication purposes. Multi-dimensional correlation processing can be used to evaluate pairs of biometrics.

Abstract: Conjunctival vascular images are obtained from individual's eye for purposes of creating a multi-dimension, non-iris based biometric. The biometric can be used for identification or authentication purposes. Multi-dimensional correlation processing can be used to evaluate pairs of biometrics.

Abstract: A method for matching fingerprint images is provided. The method includes the steps of acquiring a query image of a fingerprint; extracting a minutiae set from the query image; comparing the minutiae set of the query image with a minutiae set of at least one template image to determine transformation parameters to align the query image to the at least one template image and to determine a minutiae matching score; constructing a ridge feature map of the query image; comparing the ridge feature map of the query image to a ridge feature map of the at least one template image to determine a ridge feature matching score; and combining the minutiae matching score with the ridge feature matching score resulting in an overall score, the overall score being compared to a threshold to determine if the query image and the at least one template image match.

Abstract: A method for matching fingerprint images is provided. The method includes the steps of acquiring a query image of a fingerprint; extracting a minutiae set from the query image; comparing the minutiae set of the query image with a minutiae set of at least one template image to determine transformation parameters to align the query image to the at least one template image and to determine a minutiae matching score; constructing a ridge feature map of the query image; comparing the ridge feature map of the query image to a ridge feature map of the at least one template image to determine a ridge feature matching score; and combining the minutiae matching score with the ridge feature matching score resulting in an overall score, the overall score being compared to a threshold to determine if the query image and the at least one template image match.