Capital One Services, LLC

Jason Pribble

Daniel Alan Jarvis

Nicholas Capurso

Swapnil Patil

Samuel Edwards

Erik Neighbour

Eric Cerney

Alexandria Mcdonald

In some implementations, a device may obtain a document that includes an identification image depicting a face of a person associated with the document. The device may obtain a live user image that depicts an image of a user. The device may extract information from the document image that includes appearance information associated with the person. The appearance information may include one or more document appearance parameters. The device may analyze the identification image, the live user image, and the appearance information to determine whether the user is the person to which the document is issued. The device may perform an action based on determining whether the user is the person to which the document is issued.

Enhanced authentication using a secure document

In some implementations, a device may obtain, from a user device, a document image that depicts location information associated with an owner of the document. The device may obtain location information associated with the user device. The device may perform optical character recognition using the document image to obtain a location, or may scan a machine-readable code depicted in the document image to obtain the location. The device may determine a device location based on the location information. The device may determine a confidence score based on the location and the device location. The device may determine whether the confidence score satisfies a threshold. The device may perform an action based on determining whether the confidence score satisfies the threshold.

In some implementations, a device may receive the image of the document, the image of the document depicting the reference feature, and the reference feature being associated with one or more location parameters for a document type associated with the document. The device may detect a location of the reference feature as depicted in the image, the location being defined by bounds of the reference feature as depicted in the image. The device may detect a border of the document as depicted in the image based on identifying one or more edges of the document based on the bounds of the reference feature and the one or more location parameters. The device may modify the image of the document based on the border of the document to obtain a cropped image. The device may transmit, to a server device, the cropped image.

Automatic image cropping using a reference feature

Disclosed herein are various embodiments for detecting predefined accessibility patterns for modifying a user interface of a mobile device. An embodiment operates by determining a plurality of pre-defined accessibility patterns each of which correspond to one or more user interactions by a user with a mobile device. Sensor data indicating that a user is unable to hold the mobile device steady is received. A first pre-defined accessibility pattern that corresponds to the indication that the user is unable to hold the mobile device steady is identified. A modification to a user interface is determined, and the user interface is modified in accordance with the determined modification corresponding to the first pre-defined accessibility pattern.

Detecting a pre-defined accessibility pattern to modify the user interface of a mobile device

Described herein is a system for automatically capturing images. A device may execute an application on the device. In response to receiving a request for capturing an image of a document, the application may control the operation of the camera to contemporaneously and continuously capture image frames of an area within the field of view of a camera of the device. The field of view may include an object and in turn may be included in the captured image frames. The application may determine whether the aspect ratio and real-world size of the object in the captured image frames corresponds with a specified threshold size and aspect ratio which corresponds with a given document type. In response to determining the object corresponds to the given document type, the camera may automatically extract an image of the object.

Automatic image capture system based on a determination and verification of a physical object size in a captured image

A device may capture a plurality of preview frames of a document, and for each preview frame of the plurality of preview frames, process the preview frame to identify an object in the preview frame. Processing the preview frame may include converting the preview frame into a grayscale image, generating a blurred image based on the grayscale image, detecting a plurality of edges in the blurred image, defining at least one bounding rectangle based on the plurality of edges, and determining an outline of the object based on the at least one bounding rectangle. The device may determine whether a value of an image parameter, associated with the one or more preview frames, satisfies a threshold, and provide feedback to a user of the device, or automatically capture an image of the document, based on determining whether the value of the image parameter satisfies the threshold.

Image analysis and processing pipeline with real-time feedback and autocapture capabilities, and visualization and configuration system

The method, system, and non-transitory computer-readable medium embodiments described herein are directed to verifying documents. In various embodiments, a server may receive a first image of a front-side of a document. The server may extract a first feature of the front-side of the document from the first image and identify a first environmental feature from the first image. The server may receive a second image of a backside of the document and identify a second feature of the backside of the document from the second image. The server may also identify a second environmental feature from the second image. The server may verify the document by confirming that the first feature matches the second feature and the first environmental feature matches the second environmental feature.

Validating identification documents

Disclosed herein are system, method, and computer program product embodiments for verifying a document. An embodiment operates by receiving an initial image of a document and identifying a first imperfection on a feature of the document. Thereafter, the feature of the initial image is segmented into a first and second partially overlapping segment corresponding to a first and second portion of the feature, respectively. Subsequently, the feature's first portion is determined to be free from the first imperfection, and the first imperfection is identified in the feature's second segment. After receiving a second image of the document including the feature's second portion, the feature's second portion in the second image is determined to be free from a second imperfection. As a result, an image of the feature is created based on the first and second portions of the feature derived from the initial and second images, respectively.

Document verification by combining multiple images

The method, system, and non-transitory computer-readable medium embodiments described herein provide for identifying invalid identification documents. In various embodiments, an application executing on a user device prompts the user device to transmit an image of the identification document. The application receives an image including the identification document in response to the identification document being within a field of view of a camera of the user device. The identification document includes a plurality of visual elements, and one or more visual elements of the plurality of visual elements are one or more invalidating marks. The application detects a predetermined pattern on the identification document in the image, the predetermined pattern formed from the one or more invalidating marks. The application determines that the identification document is invalid based on the detected predetermined pattern.

Identifying invalid identification documents

A user device may capture a plurality of preview images that each include image data. The user device may process, in substantially real-time, a preview image to identify an object in the preview image, including determining an outline of the object. The user device may create a mask that hides a portion of the image data associated with an area outside of the outline of the object in one or more of the preview images. Based on determining that a parameter associated with glare of the object in the preview images does not satisfy a threshold, the user device may provide, in substantially real-time, feedback to a user, including an instruction to the user to perform an action with respect to the user device or to the object, and, based on determining that the parameter satisfies the threshold, the user device may automatically capture an image of the object.

Real-time glare detection inside a dynamic region of an image

In some implementations, a device may detect edges in an image, and may identify, based on the edges, a rectangle that bounds a document in the image. The device may detect lines in the image, and may identify edge candidate lines by discarding one or more of the lines. The device may identify intersection points where lines, included in the edge candidate lines, intersect with one another. The device may identify corner candidate points by discarding one or more points included in the intersection points, and may identify a corner point included in the corner candidate points. The corner point may be a point, included in the corner candidate points, that is closest to one corner of the bounding rectangle. The device may perform perspective correction on the image of the document based on identifying the corner point.

Image processing to detect a rectangular object

Embodiments disclosed are directed to a computing system that performs steps for automatically capturing images. The computing system receives an automatic image capture control signal from an application installed on a device and captures, by a camera of the device during a predetermined time interval, preview frames of an object and a background. For each of the preview frames, the computing system identifies an outline of the object in the preview frame, removes the background of the preview frame based on the outline to generate a modified preview frame, and determines a focus value of the modified preview frame. Subsequently, the computing system determines whether a predetermined amount of focus values are greater than a threshold focus value corresponding to the device and, if so, automatically captures, via the camera, an image of the object.

Dynamic minimum focus threshold determination inside a region of interest in an image

Systems, methods, articles of manufacture, and computer-readable media for secure authentication based on passport data stored in a contactless card associated with an account. An application may receive an indication to perform an operation. The application may receive encrypted data from the card. The application may receive an indication that the authentication server verified the encrypted data based on a private key. The application may receive encrypted passport data from the contactless card, the encrypted passport data for a passport associated with the account. The application may determine an attribute of the passport based at least in part on image data or text input. The application may decrypt the encrypted passport data based on the attribute of the passport. The application may initiate performance of the operation based on the received indication specifying that the authentication server verified the encrypted data and the decryption of the encrypted passport data.

Secure authentication based on passport data stored in a contactless card

System, apparatus, device, method and/or computer program product are disclosed for detecting the authenticity of an image file transferred from a device to a server based on an image authenticity detection configuration determined by a server application. A device application is operated by a device, and a server application is operated by a server. The device application sends, to the server application, user data, device data, or environment data. The server application determines an image authenticity detection configuration to indicate one or more parameters to be used by the device to generate a first image file, and authorized changes to be made to the first image file to generate a second image file. The device application sends the second image file to the server application. The server application detects whether the received second image file contains changes matching authorized changes indicated by the image authenticity detection configuration.

Growing community of inventors

McLean, VA, United States of America

Jason Pribble