Abstract: A user device detects, in a field of view of the camera, a first side of a document, and determines first information associated with the first side of the document. The user device selects a first image resolution based on the first information and captures, by the camera, a first image of the first side of the document according to the first image resolution. The user device detects, in the field of view of the camera, a second side of the document, and determines second information associated with the second side of the document. The user device selects a second image resolution based on the second information, and captures, by the camera, a second image of the second side of the document according to the second image resolution. The user device performs an action related to the first image and the second image.

Abstract: Disclosed herein are system, method, and computer program product embodiments for modifying a graphical user interface (GUI) in response to detecting an accessibility pattern. In an embodiment, a user interacting with an application of a mobile phone may experience difficulty viewing the GUI elements or supplying commands to the application. Data from sensors on the mobile phone may be recorded and analyzed to detect an accessibility pattern indicating that the user is experiencing difficulty interacting with the application. For example, a proximity sensor may indicate that the user has placed the mobile device close to the user's face. In response to detecting an accessibility pattern, the application may modify the GUI of the application according to the particular accessibility pattern detected.

Abstract: 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.

Abstract: Systems, methods, articles of manufacture, and computer-readable media for secure authentication based on identity data stored in a contactless card associated with an account. An application may receive an indication specifying to perform an operation. The application may receive encrypted data from the card. The application may receive an indication that the authentication server decrypted the encrypted data. The application may determine a type of data required to authorize the operation. The application may receive data comprising passport data or driver license data from the card. The application may determine that the data satisfies a rule for authorizing the operation and authorize performance of the operation based on the authentication server verifying the encrypted data and the data satisfying the at least one rule.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Disclosed herein are system, method, and computer program product embodiments for modifying a graphical user interface (GUI) in response to detecting an accessibility pattern. In an embodiment, a user interacting with an application of a mobile phone may experience difficulty viewing the GUI elements or supplying commands to the application. Data from sensors on the mobile phone may be recorded and analyzed to detect an accessibility pattern indicating that the user is experiencing difficulty interacting with the application. For example, a proximity sensor may indicate that the user has placed the mobile device close to the user's face. In response to detecting an accessibility pattern, the application may modify the GUI of the application according to the particular accessibility pattern detected.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Disclosed herein are system, method, and computer program product embodiments for generating a recommendation displayed on a graphical user interface (GUI) for positioning a camera or object based on environmental information. In an embodiment, a mobile device may monitor information related to an environment surrounding the mobile device. This information may be retrieved from different sensors of the mobile device, such as a camera, clock, positioning sensor, accelerometer, microphone, and/or communication interface. Using this information, a neural network is able determine a predicted camera environment and generate a recommendation. The mobile device may display the recommendation on a graphical user interface (GUI) to recommend a camera position or an object position. This recommendation may aid in capturing an image of the object and aid in enhancing the image quality.

Abstract: Disclosed herein are system, method, and computer program product embodiments for routing a document validation request to one or more validation service providers. In an embodiment, selections of validation service providers are based dynamically evaluations that take into consideration validation results among other factors. Evaluations of the service providers enables the service providers to be ranked across different characteristics and selection may therefore be based on the specific document included in the document validation request.

Abstract: The present disclosure is directed to systems and methods for validating identification documents based on case-based behaviors. The method may include: receiving, at a computing device, a request to access account information of a user from a user device; analyzing, using the computing device, an environmental context of the user device; determining, using the computing device, a priority level for validating an identification document of the user based on the environmental context; dynamically setting, using the computing device, a validation process for validating the identification document based on the priority level; and in response to the identification document being validated, providing, using the computing device, the user device with access to the account information.

Abstract: Systems, methods, articles of manufacture, and computer-readable media for secure authentication based on identity data stored in a contactless card associated with an account. An application may receive an indication specifying to perform an operation. The application may receive encrypted data from the card, the encrypted data based on a cryptographic algorithm, a customer identifier, and a private key. The application may receive an indication that the authentication server verified the encrypted data based on the private key for the card. The application may determine a type of data required to authorize the operation. The application may receive data comprising passport data or driver license data from the card. The application may determine that the data satisfies a rule for authorizing the operation and authorize performance of the operation based on the authentication server verifying the encrypted data and the data satisfying the at least one rule.

Abstract: 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.

Abstract: An example process described herein may involve capturing an image including a document; identifying a first part of the document, wherein the first part of the document is identified based on detecting an outline of the first part of the document; analyzing a first region of the image determined in relation to the first part of the document to detect a second part of the document based on an outline of the second part of the document; identifying the second part of the document based on detecting the first part of the document and analyzing the first region; combining the first part of the document with the second part of the document to generate object data associated with the document, wherein the object data includes data representative of a gap between the first part of the document and the second part of the document; and performing an action related to the object data.

Abstract: 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.

Abstract: 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.