Abstract:
Certain aspects relate to systems and techniques for generating high resolution iris templates and for detecting spoofs, enabling more reliable and secure iris authentication. Pairs of RGB and NIR images can be captured by the iris authentication system for use in iris authentication, for example using an NIR LED flash and a four-channel image sensor. Multiple images of the user's iris can be captured by the system in a relatively short period of time and can be fused together to generate a high resolution iris image that can contain more detail of the iris structure and unique pattern than each individual images. The “liveness” of the iris, referring to whether the iris is a real human iris or an iris imitation, can be assessed via a liveness ratio based on comparison of known iris and sclera reflectance properties at various wavelengths to determined sensor responses at those same wavelengths.
Abstract:
This disclosure presents methods, systems, computer-readable media, and apparatuses for optically tracking the location of one or more objects. The techniques may involve accumulation of initial image data, establishment of a dataset library containing image features, and tracking using a plurality of modules or trackers, for example an optical flow module, decision forest module, and color tracking module. Tracking outputs from the optical flow, decision forest and/or color tracking modules are synthesized to provide a final tracking output. The dataset library may be updated in the process.
Abstract:
Systems and methods for biometric authentication are disclosed. The invention may be used to authenticate an individual. At least two enrollment templates may be obtained at different times. Later, an inquiry template may be obtained and compared to each of the enrollment templates in separate and distinct comparison operations. The match scores arising from the comparison operations may be fused to provide a composite match score. The composite match score may be compared to an acceptance range. If the composite match score is within the acceptance range, the individual may be authenticated.
Abstract:
Techniques for associating environmental information with fingerprint images for fingerprint enrollment and matching are presented. The techniques may include capturing, using a fingerprint sensor of a mobile device, one or more images of a fingerprint. The techniques may include analyzing the one or more images to obtain fingerprint information associated with the fingerprint. The techniques may include obtaining, via an orientation sensor of the mobile device, environmental information indicating an orientation of the mobile device associated with the capturing of the one or more images. The techniques may additionally include generating, using the fingerprint information, an enrollment template for the fingerprint. The techniques may include associating the enrollment template with the environmental information. The techniques may include storing the enrollment template and the environmental information in a memory of the device, wherein the stored enrollment template is associated with the environmental information.
Abstract:
Certain aspects relate to systems and techniques for generating high resolution iris templates and for detecting spoofs, enabling more reliable and secure iris authentication. Pairs of RGB and NIR images can be captured by the iris authentication system for use in iris authentication, for example using an NIR LED flash and a four-channel image sensor. Multiple images of the user's iris can be captured by the system in a relatively short period of time and can be fused together to generate a high resolution iris image that can contain more detail of the iris structure and unique pattern than each individual images. The “liveness” of the iris, referring to whether the iris is a real human iris or an iris imitation, can be assessed via a liveness ratio based on comparison of known iris and sclera reflectance properties at various wavelengths to determined sensor responses at those same wavelengths.
Abstract:
Methods, systems, computer-readable media, and apparatuses for novel eye tracking methodologies are presented. Specifically, after an initial determination of a person's eyes within a field of view (FOV), methods of the present disclosures may track the person's eyes even with part of the face occluded, and may quickly re-acquire the eyes even if the person's eyes exit the FOV. Each eye may be tracked individually, at a faster rate of eye tracking due to the novel methodology, and successful eye tracking even at low image resolution and/or quality is possible. In some embodiments, the eye tracking methodology of the present disclosures includes a series of sub-tracker techniques, each performing different eye-tracking functions that, when combined, generate a highest-confidence location of where the eye has moved to in the next image frame.
Abstract:
Certain aspects relate to systems and techniques for generating high resolution iris templates and for detecting spoofs, enabling more reliable and secure iris authentication. Pairs of RGB and NIR images can be captured by the iris authentication system for use in iris authentication, for example using an NIR LED flash and a four-channel image sensor. Multiple images of the user's iris can be captured by the system in a relatively short period of time and can be fused together to generate a high resolution iris image that can contain more detail of the iris structure and unique pattern than each individual images. The “liveness” of the iris, referring to whether the iris is a real human iris or an iris imitation, can be assessed via a liveness ratio based on comparison of known iris and sclera reflectance properties at various wavelengths to determined sensor responses at those same wavelengths.
Abstract:
Techniques described herein relate to mobile computing device technologies, such as systems, methods, apparatuses, and computer-readable media for tracking an object from a plurality of objects. In one aspect, the plurality of objects may be similar. Techniques discussed herein propose dynamically learning information associated with each of the objects and discriminating between objects based on their differentiating features. In one implementation, this may be done by maintaining a database associated with each object and updating the dynamic database transferred while the objects are tracked. The tracker uses algorithmic means for differentiating objects by focusing on the differences amongst the objects. For example, in one implementation, the method may weigh the differences between different fingers higher than their associated similarities to facilitate differentiating the fingers.
Abstract:
Techniques for associating environmental information with fingerprint images for fingerprint enrollment and matching are presented. The techniques may include capturing, using a fingerprint sensor of a mobile device, one or more images of a fingerprint. The techniques may include analyzing the one or more images to obtain fingerprint information associated with the fingerprint. The techniques may include obtaining, via an orientation sensor of the mobile device, environmental information indicating an orientation of the mobile device associated with the capturing of the one or more images. The techniques may additionally include generating, using the fingerprint information, an enrollment template for the fingerprint. The techniques may include associating the enrollment template with the environmental information. The techniques may include storing the enrollment template and the environmental information in a memory of the device, wherein the stored enrollment template is associated with the environmental information.
Abstract:
Embodiments of apparatus, computer program product, and method for verifying fingerprint images are disclosed. In one embodiment, a method of verifying fingerprint images includes receiving an inquiry fingerprint image of a user, identifying pattern characteristics of the inquiry fingerprint image, identifying minutiae characteristics of the inquiry fingerprint image, determining a weighted combination of the pattern characteristics of the inquiry fingerprint image and the minutiae characteristics of the inquiry fingerprint image, where the weighted combination comprises a pattern matching weight and a minutiae matching weight derived in accordance with a separation of a first empirical probability density function of genuine fingerprints from a second empirical probability density function of impostor fingerprints, and verifying the inquiry fingerprint image based on a set of fused scores computed using the weighted combination of the pattern characteristics of the inquiry fingerprint image and the minutiae characteristics of the inquiry fingerprint image.