Jumio Corporation

Thomas Krump

Attila Balogh

Stuart Wells

Anshuman Vikram Singh

Daryl Huff

Lukas Bayer

Labhesh Patel

Philipp Pointner

Thomas Pasterk

Lukas Danzer-Stauffer

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.

Generating a document assembly object and derived checks

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.

Evaluating perforations on document images

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.

Document boundary analysis

The disclosure includes a system and method for correlation of signals including determining, using one or more processors, a first position in a user journey; determining, using the one or more processors, a first set of signal data identified for capture at the first position in the user journey, the first set of environmental signal data including a representation, at a first time, of one or more of an environment of a user device and the user device in relation to the environment; obtaining, using the one or more processors, the first set of signal data, the first set of signal data including first sensor data obtained from a first sensor at the user device; and determining, using the one or more processors, based at least in part on the first set of signal data including the first sensor data, a correlation to untrustworthiness.

Correlation of signals

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.

Evaluating three-dimensional security features on document images

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.

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Buchkirken, Austria

Thomas Krump