A system for computerized authentication of a laminated object, the system comprising a digital medium storing a digital image of at least a portion of the laminated object in a computer-implemented memory; a shininess analyzer operative, using a processor, to generate shininess data quantifying shininess of the digital image; and a parameterized computerized authentication sub-system operative to differentially perform at least one laminated object authentication operation based on the shininess data.

A system and method of for describing target data as a sequence of pattern elements and pattern element groups that comprise an overall target pattern is described. Pattern elements may utilize regular expression syntax along with other metadata that describe the behavior of the element. A pattern element group may be a collection of fully defined pattern elements where at least one pattern element from the group must have a match for the overall pattern to match. Patterns contain both pattern elements and pattern element groups. The general process involves first performing optical character recognition (OCR) on the document, which in turn produces a sequence of text tokens representing the lines of text on each page of the document. The search algorithm may then apply each defined pattern to the entire document capturing and/or extracting data that match each pattern's required elements and element groups.

A system and method of for describing target data as a sequence of pattern elements and pattern element groups that comprise an overall target pattern is described. Pattern elements may utilize regular expression syntax along with other metadata that describe the behavior of the element. A pattern element group may be a collection of fully defined pattern elements where at least one pattern element from the group must have a match for the overall pattern to match. Patterns contain both pattern elements and pattern element groups. The general process involves first performing optical character recognition (OCR) on the document, which in turn produces a sequence of text tokens representing the lines of text on each page of the document. The search algorithm may then apply each defined pattern to the entire document capturing and/or extracting data that match each pattern's required elements and element groups.

A method and apparatus are provided for tracking documents. The documents are tracked by simultaneously monitoring each document's electronic processing status and physical location. Determinations are made whether specific combinations of electronic processing states and physical locations are valid and whether specific movements of documents are permitted. Invalid combinations or movements are reported to a reporting station. The preparation of batches of documents prior to scanning may be monitored and operator metrics related to the batch prep process may be tracked. Exception documents rejected during document processing may be monitored to enable retrieval of such documents.

Vehicles and other items often have corresponding documentation, such as registration cards, that includes a significant amount of informative textual information that can be used in identifying the item. Traditional OCR may be unsuccessful when dealing with non-cooperative images. Accordingly, features such as dewarping, text alignment, and line identification and removal may aid in OCR of non-cooperative images. Dewarping involves determining curvature of a document depicted in an image and processing the image to dewarp the image of the document to make it more accurately conform to the ideal of a cooperative image. Text alignment involves determining an actual alignment of depicted text, even when the depicted text is not aligned with depicted visual cues. Line identification and removal involves identifying portions of the image that depict lines and removing those lines prior to OCR processing of the image.

Disclosed embodiments include a method for dynamically providing notary sessions. The method can include receiving a document and one or more user-level notary requirements from a user device. Data entries can be extracted from the document and the document can be associated with a template. Document-level notary requirements can be determined based on the template and document. A first subset of active notary devices can be identified, and a first join request can be transmitted to the first subset. A first notary session between a first notary device and first user device can be initiated if the join request is accepted within a predetermined time threshold. If the join request is not accepted within a predetermined time threshold, the method can include identifying a second subset of active notary devices, transmitting a second join request, and initiating a second notary session between the first user device and second notary device.