Abstract: Some implementations provide a machine-assisted method for screening a person, the method including: receiving, at a scanning device, an identification document presented by the person, the identification document showing a machine-readable code that encodes personally identifiable information of the person, a biometric of the person, and printed information; scanning the machine-readable code on the identification document to extract personally identifiable information of the person; comparing the extracted personally identifiable information against records stored at a database; determining that the extracted personal identifiable information matches a record stored at the database; receiving data encoding the biometric of the person on the identification document for comparison with the person presenting the identification document; receiving a determination that the biometric from the identification document identifies the person presenting the identification document; and determining whether the identifi

Abstract: In some implementations, a computer-implemented method and system for enrolling customers into a digital identification program may include obtaining, from a digital identification database, customer information that describes a customer, providing to the customer device an access code for activation, receiving a request from the customer device for the digital identification, where the request includes the access code and customer information that describes the customer, providing a request for secure information that describes the customer from a secure information database, receiving the secure information that describes the customer stored in the secure information database, generating the digital identification for the customer based on the secure information and the customer information, and providing the digital identification to the customer device.

Abstract: Methods, systems, and computer-readable storage mediums for detecting facial liveliness are provided. Implementations include actions of processing first and second facial images of a subject to determine first and second corneal reflections of an object, the first and second facial images being captured at first and second sequential time points, determining a corneal reflection change of the object based on the determined first and second corneal reflections, comparing the determined corneal reflection change of the object to a motion associated with the first and second time points, and determining facial liveliness of the subject based on a result of the comparison.

Abstract: Some implementations may include a method for watermarking an identification document, the method including: receiving a digitally watermarked digital facial portrait of the person, the digital facial portrait embedded with at least one digital watermark identifying payload data linking the digital facial portrait to the person portrayed in the digital facial portrait; receiving results of comparison between the digital facial portrait of the person and the person presenting the digitally watermarked digital facial portrait; retrieving the at least one digital watermark in response to receiving comparison results that the person portrayed in the digital facial portrait is the person presenting the digitally watermarked digital facial portrait; and determining that the digital facial portrait is authentic based on the retrieved at least one digital watermark.

Abstract: Some implementations may provide a method for generating a portrait of a subject for an identification document, the method including: receiving a photo image of the subject, the photo image including the subject's face in a foreground against an arbitrary background; determining the arbitrary background of the photo image based on the photo image alone and without user intervention; masking the determined background from the photo image; and subsequently generating the portrait of the subject for the identification document of the subject, the portrait based on the photo image with the determined background masked.

Abstract: Methods, systems, and computer-readable storage mediums for detecting facial liveliness are provided. Implementations include actions of processing a facial image of a subject to determine a corneal reflection of an illuminator adjacent to the subject, the facial image being captured at a time point, determining an expected corneal reflection of the illuminator based on an illumination of the illuminator at the time point, comparing the determined corneal reflection of the illuminator to the expected corneal reflection of the illuminator to obtain a comparison result, and determining facial liveliness of the subject based on the comparison result.

Abstract: Some implementations may provide a method that includes: receiving, at a mobile device, data encoding a first digital watermark present on the identification document; extracting a first portion of personally identifiable information encoded by a spatial luminance pattern associated with the first digital watermark; receiving, at a mobile device, data encoding a second digital watermark present on the identification document; extracting a second portion of personally identifiable information encoded by a spatial luminance pattern associated with the first digital watermark; and validating the identification document based on at least one of the first portion of personally identifiable information or the second portion of personally identifiable information.

Abstract: Methods, systems, and computer-readable storage mediums for detecting facial liveliness are provided. Implementations include actions of processing first and second facial images of a subject to determine first and second corneal reflections of an object, the first and second facial images being captured at first and second sequential time points, determining a corneal reflection change of the object based on the determined first and second corneal reflections, comparing the determined corneal reflection change of the object to a motion associated with the first and second time points, and determining facial liveliness of the subject based on a result of the comparison.

Abstract: A computer-implemented method that includes: accessing data encoding a fingerprint slap scan image, the fingerprint slap scan image including fingerprints of a number of fingers from a subject's hand; performing a radon transform of the fingerprint slap scan image to generate a sinogram, the sinogram represented on a grid having a lateral span axis and a projection angle axis; automatically identifying patterns of segments on the sinogram as finger lines, each finger lines corresponding to a particular finger present on the fingerprint slap scan image; and based on identified finger lines on the sinogram, automatically determining whether one or more fingers are missing on the fingerprint slap scan image.

Abstract: Methods, systems, and computer-readable storage mediums for detecting facial liveliness are provided. Implementations include actions of processing a facial image of a subject to determine a corneal reflection of an illuminator adjacent to the subject, the facial image being captured at a time point, determining an expected corneal reflection of the illuminator based on an illumination of the illuminator at the time point, comparing the determined corneal reflection of the illuminator to the expected corneal reflection of the illuminator to obtain a comparison result, and determining facial liveliness of the subject based on the comparison result.

Abstract: Some implementations may provide a machine-assisted that includes: receiving, from a participant entity, a request to determine a trustworthiness of a transaction request, the transaction request being submitted by a user to access data managed by the participant entity; submitting a first inquiry at an authentication verification engine to determine an authenticity of a purported identity of the user submitting the transaction request; receiving a response from the authentication verification engine, the response including a computed authenticity score quantitatively attesting to the purported identity of the user submitting the transaction request; based on the computed authenticity score, determining the trustworthiness of the transaction request being submitted by the user; and notifying the participant entity of the determined trustworthiness of the transaction request to access data managed by the participant entity.

Abstract: A laminar assembly including a first optically opaque layer defining a plurality of through-holes, a second optically opaque layer, an optically transparent inner layer between the inner surface of the first optically opaque layer and the inner surface of the second optically opaque layer, and a preprinted layer proximate the outer surface of at least one of the first and second optically opaque layers. The plurality of through-holes is at least partially filled with material from the optically transparent inner layer, and light is visibly transmitted in a single direction through the plurality of through-holes. Unidirectional opacity watermarks defined by the plurality of through-holes in the laminar assembly provide advantageous anti-counterfeiting measures, and are easy to view and authenticate, yet difficult to simulate.

Abstract: A method and system for detecting eye corners using neural network classifiers is described. After an eye image is received, the eye image may be processed by at least two neural network classifiers including an inner eye corner neural network classifier and an outer eye corner neural network classifier. The neural network classifiers provide periocular information including a distance or coordinates of an eye corner location from a center of an iris of the eye, and an outcome of whether the eye corner is an inner eye corner or an outer eye corner. Output from the various neural network classifiers are combined to generate a decision on the location of eye corners in an eye image.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a video feed of a scene. Selecting a first portion of the video feed and a second portion of the video feed based on a probability of an object being present in the first portion of the video feed compared to a probability of the object being present in the second portion of the video feed. Processing a first portion of the video feed using a first detection algorithm to detect the object in the first portion of the video feed. Processing a second portion of the video feed using a second detection algorithm to detect the object in the second portion of the video feet, where the first detection algorithm is different from the second detection algorithm.

Abstract: Some implementations may provide a machine-assisted method to obtain access to an otherwise restricted resource, including: retrieving, by using the mobile device, a multi-dimensional symbol being displayed on a display device different from the mobile computing device, the multi-dimensional symbol encoding authentication actions for the mobile computing device to perform such that an identity of a user from the mobile device is verified; decoding data in the multi-dimensional symbol to retrieve information encoding the authentication actions; performing the authentication actions as encoded in the multi-dimensional symbol such that the identity of the user is verified; in response to having the identity of the user verified, causing the user to obtain access to the otherwise restricted resource.

Abstract: Some implementations may provide a method to have a user authenticated at a point of service. The method includes: accessing, by a target system, a multi-dimensional symbol rendered on a display of a mobile computing device of the user, the multi-dimensional symbol encoding endpoints and actions for the target system to perform in order to request and authenticate an identity of a user; decoding data in the multi-dimensional symbol to retrieve an identity token plus information about the authentication actions and the user's identity system; requesting the corresponding authentication actions of the user's identity system to include specific authentication measures for the user to perform as well as data for the user to release; and performing the authentication actions as requested and encoded in the multi-dimensional symbol such that the physical identity of the user of the mobile computing device is verified and the user consents to release the requested identity information at the point of service.

Abstract: A method and system for determining a roll angle in an eye image is described. A center of an iris, an inner eye corner, and an outer eye corner in an eye image may be determined. The eye image may be normalized and transformed to a polar eye image using the center of the iris as a reference for the transformation. A shift associated with the inner eye corner and a shift associated with the outer eye corner may be determined. The shifts associated with the inner eye corner and the outer eye corner may be indicators of an orientation of the eye image or roll angle, and may be used for subsequent eye image processing and matching.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for facial recognition using fractal features are disclosed. In one aspect, a method includes the actions of accessing data encoding a facial image, the facial image including a face. The actions further include generating a hierarchical graphical model of the face in the facial image, the hierarchical graphical model including more than nodes from at least one level, each level approximating the face within a contour. The actions further include applying a bank of filters to the face at a particular node, each filter spanning more than one scale and at least one direction. The actions further include analyzing filter responses from the bank of filters applied at each direction to obtain a similarity measure that consolidates filter responses from filters applied at more than one scale. The actions further include generating a vector representation.

Abstract: The system and methods disclosed herein validate the authenticity of a document and an individual's claimed identity. The system and method use a validation facility that is configurable to compare and match characteristics of biometric and non-biometric data presented by an individual with biometric and non-biometric data received from a request to a database or file system holding such information. The determination on the matching characteristics of the data can occur in completely automated fashion without intervention from the user, but user intervention is also possible allowing the user to review and override certain data discrepancies. The validation facility provides a user interface for use by a user to review a determination on the data analysis and instruct the validation facility to override that determination if the user determines the cause of the identity verification failure is within an acceptable criterion.

Abstract: A computer-implemented method includes: receiving a request for associating a first index of privileges and permissions with an identity token, the first index specifically encoding the privileges and permissions of a first subscriber in accessing transactional data of the requester, the request including the identity token that identifies a person and has been issued to the requester by a trusted entity through a vetting process; in response to determining that the identity token is valid and verifying that the requester is the person identified by the identity token, associating the first index of privileges and permissions of the first subscriber with the identity token; and providing the identity token associated with the first index of privileges and permissions of the first subscriber, the identity token enabling the first subscriber to access transactional data of the requester in accordance with the first index of privileges and permissions.