Abstract: A system of enhancing biometric analysis matching utilizes an image sensor, such as a digital camera, to capture an image of a face of a person. The system may perform image enhancement, such as edge and contrast enhancement, prior to performing face matching. The enhancement may be localized to a given image region based on determined region illumination. The system may perform image processing and analysis comprising face detection, alignment, feature extraction, and recognition. A biometric recognition confidence indicator may be generated using the results of the image enhancement and analysis. At least partly in response to the biometric recognition confidence indicator falling below a threshold enhancing recognition confidence using an image of visual indicia captured using the image sensor.

Abstract: A system of enhancing biometric analysis matching utilizes an image sensor, such as a digital camera, to capture an image of a face of a person. The system may perform image enhancement, such as edge and contrast enhancement, prior to performing face matching. The enhancement may be localized to a given image region based on determined region illumination. The system may perform image processing and analysis comprising face detection, alignment, feature extraction, and recognition. A biometric recognition confidence indicator may be generated using the results of the image enhancement and analysis. At least partly in response to the biometric recognition confidence indicator falling below a threshold enhancing recognition confidence using an image of visual indicia captured using the image sensor.

Abstract: A system of enhancing biometric analysis matching utilizes an image sensor, such as a digital camera, to capture an image of a face of a person. The system may perform image enhancement, such as edge and contrast enhancement, prior to performing face matching. The enhancement may be localized to a given image region based on determined region illumination. The system may perform image processing and analysis comprising face detection, alignment, feature extraction, and recognition. A biometric recognition confidence indicator may be generated using the results of the image enhancement and analysis. At least partly in response to the biometric recognition confidence indicator falling below a threshold enhancing recognition confidence using an image of visual indicia captured using the image sensor.

Abstract: A system of enhancing biometric analysis matching utilizes an image sensor, such as a digital camera, to capture an image of a face of a person. The system may perform image enhancement, such as edge and contrast enhancement, prior to performing face matching. The enhancement may be localized to a given image region based on determined region illumination. The system may perform image processing and analysis comprising face detection, alignment, feature extraction, and recognition. A biometric recognition confidence indicator may be generated using the results of the image enhancement and analysis. At least partly in response to the biometric recognition confidence indicator falling below a threshold enhancing recognition confidence using an image of visual indicia captured using the image sensor.

Abstract: A system of enhancing biometric analysis matching utilizes an image sensor, such as a digital camera, to capture an image of a face of a person. The system may perform image enhancement, such as edge and contrast enhancement, prior to performing face matching. The enhancement may be localized to a given image region based on determined region illumination. The system may perform image processing and analysis comprising face detection, alignment, feature extraction, and recognition. A biometric recognition confidence indicator may be generated using the results of the image enhancement and analysis. At least partly in response to the biometric recognition confidence indicator falling below a threshold enhancing recognition confidence using an image of visual indicia captured using the image sensor.

Abstract: Applicant's Smartphone application provides ticket-holding patrons an alternative, digital means of verifying personal identification at entry to a venue or event. The Smartphone application periodically generates a unique QR code (barcode) that contains a unique identifier (i.e., mobile device ID) which prompts the venue/event entry system to recognize the patron. No barcode (serving as a ticket, or authentication/verification, or otherwise) is downloaded from the system server to the Smartphone/mobile device client in contrast to prior art systems.

Abstract: Applicant's Smartphone application provides ticket-holding patrons an alternative, digital means of verifying personal identification at entry to a venue or event. The Smartphone application periodically generates a unique QR code (barcode) that contains a unique identifier (i.e., mobile device ID) which prompts the venue/event entry system to recognize the patron. No barcode (serving as a ticket, or authentication/verification, or otherwise) is downloaded from the system server to the Smartphone/mobile device client in contrast to prior art systems.

Abstract: Applicant's Smartphone application provides ticket-holding patrons an alternative, digital means of verifying personal identification at entry to a venue or event. The Smartphone application periodically generates a unique QR code (barcode) that contains a unique identifier (i.e., mobile device ID) which prompts the venue/event entry system to recognize the patron. No barcode (serving as a ticket, or authentication/verification, or otherwise) is downloaded from the system server to the Smartphone/mobile device client in contrast to prior art systems.

Abstract: Applicant's Smartphone application provides ticket-holding patrons an alternative, digital means of verifying personal identification at entry to a venue or event. The Smartphone application periodically generates a unique QR code (barcode) that contains a unique identifier (i.e., mobile device ID) which prompts the venue/event entry system to recognize the patron. No barcode (serving as a ticket, or authentication/verification, or otherwise) is downloaded from the system server to the Smartphone/mobile device client in contrast to prior art systems.

Abstract: Applicant's Smartphone application provides ticket-holding patrons an alternative, digital means of verifying personal identification at entry to a venue or event. The Smartphone application periodically generates a unique QR code (barcode) that contains a unique identifier (i.e., mobile device ID) which prompts the venue/event entry system to recognize the patron. No barcode (serving as a ticket, or authentication/verification, or otherwise) is downloaded from the system server to the Smartphone/mobile device client in contrast to prior art systems.

Abstract: Applicant's Smartphone application provides ticket-holding patrons an alternative, digital means of verifying personal identification at entry to a venue or event. The Smartphone application periodically generates a unique QR code (barcode) that contains a unique identifier (i.e., mobile device ID) which prompts the venue/event entry system to recognize the patron. No barcode (serving as a ticket, or authentication/verification, or otherwise) is downloaded from the system server to the Smartphone/mobile device client in contrast to prior art systems.

Abstract: A method and system for periodically updating data in a relationship system are disclosed. In one embodiment, the method includes identifying a set of desired data concerning elements of a relationship graph. The elements of the relationship graph include nodes representing entities and edges representing relationships between entities. The method further includes determining which pieces of the desired data are important to users and finding one or more information suppliers for each important piece of the desired data.