Abstract: The disclosure includes a system and method to obtain at least one image of a document under test, wherein valid instances of the document under test include at least one perforation-based three-dimensional security feature; obtain a first image snippet from the document under test, the first image snippet corresponding to at least a first portion of the perforation-based three-dimensional security feature present in the valid instances of the document; analyze the perforation-based three-dimensional security feature for one or more characteristics; and modify a likelihood that the document under test is accepted as valid, or rejected as invalid, based on a presence, or an absence, of the one or more characteristics.

Abstract: The disclosure includes a system and method for obtaining at least one image of a document under test, wherein valid instances of the document under test include at least one three-dimensional security feature; obtaining a first image snippet from the document under test, the first image snippet corresponding to at least a first portion of the three-dimensional security feature present in the valid instances of the document; deriving first dimensional data associated with the first image snippet; analyzing the first dimensional data to determine one or more of: whether the first dimensional data is consistent with a presence of the three-dimensional security feature, and whether the first dimensional data is consistent with second dimensional data; and modifying a likelihood that the document under test is accepted as valid, or rejected as invalid, based on the analysis of the first dimensional data.

Abstract: Systems, methods, and software for halftoning. In an embodiment, a halftone system is configured to store a threshold array comprising an array of threshold elements. The halftone system is further configured to receive a source image comprising an array of pixels with pixel values, and perform a multi-level halftoning process on the source image by partitioning the source image into a sequence of image segments, partitioning the threshold array into a plurality of threshold segments, identifying image segment groups each comprising a set of the image segments that are noncontiguous in the sequence and correspond with a mutual threshold segment of the threshold array, and schedule processing of the image segments in an image segment group as a batch based on the mutual threshold segment.

Abstract: The disclosure includes a system and method for obtaining, using one or more processors, at least one image of a document under test; obtaining, using the one or more processors, an edge domain representation of a first portion of the document under test; comparing, using the one or more processors, the edge domain representation of the first portion of the document under test to an edge domain representation of a corresponding portion of one or more valid document instances; and modifying, using one or more processors, a likelihood that the document under test is accepted as valid, or rejected as invalid, based on the comparison of the edge domain representations associated with the document under test and corresponding portion associated with one or more valid document instances.

Abstract: The disclosure includes a system and method for obtaining at least one image of a document under test; determining a classification of the document under test; obtaining a document assembly object associated with the determined classification; performing object detection on the document under test; and evaluating the objects detected in the document under test against the document assembly object; and determining whether the document under test is a valid or abused document.

Abstract: The disclosure includes a system and method for obtaining a document assembly object associated with a document under test indicating that valid instances of the document under test include a document holder image and document content describing a first visible characteristic of the document holder; and applying a set of checks associated with the document assembly object to evaluate the document under test image for validity, the set of checks including one or more of: a first check determining whether the document holder image in the document under test complies with one or more rules relating to valid document holder images, as defined in the document assembly object associated with the document under test; and a second check determining whether the first visible characteristic as described in the document content is consistent with the first visible characteristic as visible in the document holder image.

Abstract: The disclosure includes a system and method for determining a first measure of blur value associated with a first portion of a document under test; determining a second measure of blur value associated with a second portion of the document under test; determining whether an inconsistency in a set measure of blur values associated with the document under test is present, wherein the set of measure of blur values associated with the document under test includes the first measure of blur value and the second measure of blur value; and modifying a likelihood that the document is accepted or rejected based on whether the inconsistency is absent or present, respectively

Abstract: The disclosure includes a system and method for obtaining a document specification in an electronic format, wherein the document specification is associated with a first document, and describes features present in valid instances of the first document; determining a set of labels describing the first document from the document specification; obtaining one or more digital images of at least one valid instance of the first document from the document specification; obtaining information describing a set of bounding boxes resulting from application, to the one or more images of the least one valid instance of the first document, of one or more of optical character recognition and object detection; generating a set of derived checks based on the set of bounding boxes; and generating a document assembly object describing valid instances of the document and the set of derived checks usable to determine validity of a document under test.

Abstract: The disclosure includes a system and method for obtaining at least one image of a document under test, wherein valid instances of the document under test include at least one three-dimensional security feature; obtaining a first image snippet from the document under test, the first image snippet corresponding to at least a first portion of the three-dimensional security feature present in the valid instances of the document; deriving first dimensional data associated with the first image snippet; analyzing the first dimensional data to determine one or more of: whether the first dimensional data is consistent with a presence of the three-dimensional security feature, and whether the first dimensional data is consistent with second dimensional data; and modifying a likelihood that the document under test is accepted as valid, or rejected as invalid, based on the analysis of the first dimensional data.

Abstract: The disclosure includes a system and method for obtaining a query including a document assembly object identifier, the query associated with a request to verify a document under test present in an image; obtaining a document assembly object describing a valid document uniquely associated with the identifier, the document assembly object including: a set of document components, a set of derived document features, and a set of verification checks including one or more of a direct check and a derived check; obtaining aggregated context information associated with the document under test; and sending the document assembly object and aggregated context information for use in verification of the document under test.

Abstract: The disclosure includes a system and method for obtaining a set of labels describing a document; obtaining one or more images of the document, wherein the document in the one or more images are valid samples of the document; identify a set of document components based on document issuer provided information and a set of direct checks; deriving a set of document features based at least in part on the one or more images of the document and a set of derived checks; and generating a document assembly object describing valid instances of the document including the set of document components, the set of derived document features and a set of verification checks including the set of direct checks and the set of derived checks.

Abstract: A system is disclosed.

Abstract: A system is disclosed. The system includes at least one physical memory device to store edge enhancement logic and one or more processors coupled with the at least one physical memory device to execute the edge enhancement logic to receive a plurality of pels in a continuous tone image (CTI), receive compensation data for pel forming elements associated with each of the plurality of pels, receive edge enhancement transfer functions, determine whether each of the plurality of pels is an edge pel, perform edge enhancement processing for each of the determined edge pels, including generating a final pel value for the pel based on the pel value for the pel, the edge enhancement transfer function associated with the pel, and the compensation data associated with the pel and perform compensation processing for each of the determined not edge pels, including generating a final pel value for the pel based on the pel value for the pel, and the compensation data associated with the pel.

Abstract: Computer systems and methods are provided for determining authenticity of a document. A computer system receives first image data from a remote third party. The first image data includes a first image of a document. The computer system generates an image hash based on at least a portion of the received image data. The computer system compares the generated image hash with a stored image hash to determine whether the generated image hash meets image matching criteria. The stored image hash is associated with a first predetermined authentication decision. In accordance with a determination that the generated image hash meets the image matching criteria, the computer system transmits the first predetermined authentication decision to the remote third party.

Abstract: Computer systems and methods are provided for receiving a first authentication request that includes an image of an identification document. A risk value is determined using one or more information factors that correspond to the authentication request. A validation user interface that includes the image of the identification document is displayed. A risk category that corresponds to the risk value is determined using at least a first risk threshold. In accordance with a determination that the risk value corresponds to a first risk category, a visual indication that corresponds to the first risk category is displayed. In accordance with a determination that the risk value corresponds to a second risk category, a visual indication that corresponds to the second risk category is displayed.

Abstract: A hand-held intraoral scanner apparatus includes a handle, a scanner shaft and a head unit, wherein the head unit is arranged at an end of the scanner shaft and the head unit includes at least one sensor. The hand-held intraoral scanner apparatus further includes a processing unit, a moving arrangement and at least one motor. The processing unit is electrically interconnected to the at least one motor, the moving arrangement and the at least one sensor, a first end of the moving arrangement is interconnected to the head unit, and a second end of the moving arrangement is interconnected to the at least one motor. The processing unit is configured to move the head unit via the at least one motor and the moving arrangement, wherein the head unit is configured to move around at least one of two rotation axes. The two rotation axes extend perpendicular to each other.

Abstract: Computer systems and methods are provided for using a machine learning system to analyze authentication information. First authentication information for a first transaction includes at least a first image that corresponds to a first identification document is received. First validation information that corresponds to a first validation fault is received from a validation system. Data storage of a machine learning system stores the first validation information. Second authentication information for a second transaction includes a second image that corresponds to a second image is received. The machine learning system determines a first validation value that corresponds to a probability that the second image includes the first validation fault. The first validation value is used to determine whether fault review criteria are met. In accordance with a determination that the fault review criteria are met, the second image is transmitted to the validation system.

Abstract: Computer systems and methods are provided for determining authenticity of a document. A computer system receives first image data from a remote third party. The first image data includes a first image of a document. The computer system generates an image hash based on at least a portion of the received image data. The computer system compares the generated image hash with a stored image hash to determine whether the generated image hash meets image matching criteria. The stored image hash is associated with a first predetermined authentication decision. In accordance with a determination that the generated image hash meets the image matching criteria, the computer system transmits the first predetermined authentication decision to the remote third party.

Abstract: Computer systems and methods are provided for receiving a first authentication request that includes an image of an identification document. A risk value is determined using one or more information factors that correspond to the authentication request. A validation user interface that includes the image of the identification document is displayed. A risk category that corresponds to the risk value is determined using at least a first risk threshold. In accordance with a determination that the risk value corresponds to a first risk category, a visual indication that corresponds to the first risk category is displayed. In accordance with a determination that the risk value corresponds to a second risk category, a visual indication that corresponds to the second risk category is displayed.

Abstract: Computer systems and methods are provided for using a machine learning system to analyze authentication information. First authentication information for a first transaction includes at least a first image that corresponds to a first identification document is received. First validation information that corresponds to a first validation fault is received from a validation system. Data storage of a machine learning system stores the first validation information. Second authentication information for a second transaction includes a second image that corresponds to a second image is received. The machine learning system determines a first validation value that corresponds to a probability that the second image includes the first validation fault. The first validation value is used to determine whether fault review criteria are met. In accordance with a determination that the fault review criteria are met, the second image is transmitted to the validation system.