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It was developed at CEDAR, the Center of Excellence for Document Analysis and Recognition at the University at Buffalo. [ 1 ] [ 2 ] [ 3 ] CEDAR-FOX has capabilities for interaction with the questioned document examiner to go through processing steps such as extracting regions of interest from a scanned document, determining lines and words of ...
The software-based document comparison process compares a reference document to a target document, and produces a third document which indicates (by colored highlighting or by differing font characteristics) information (text, graphics, formulas, etc.) that has either been added to or removed from the reference document to produce the target ...
Computer assisted reviewing for translation (CART) tools are CAR tools being able to manage multi-lingual comparisons. This implies to be able to match each part of text from one document to the other, taking into account the specificity of each language: date/number formats, punctuation (for example, French/English quotation marks), etc.
Document AI combines text data, which has a time dimension, with other types of data, such as the position of an address in a business letter, which is spatial. Historically in machine learning spatial data was analyzed using a convolutional neural network , and temporal data using a recurrent neural network .
Layout analysis software, that divide scanned documents into zones suitable for OCR; Graphical interfaces to one or more OCR engines; Software development kits that are used to add OCR capabilities to other software (e.g. forms processing applications, document imaging management systems, e-discovery systems, records management solutions)
External detection systems compare a suspicious document with a reference collection, which is a set of documents assumed to be genuine. [6] Based on a chosen document model and predefined similarity criteria, the detection task is to retrieve all documents that contain text that is similar to a degree above a chosen threshold to text in the ...
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