Abstract: Fuzzy document state assignment includes loading into memory a raster image of a document and performing OCR upon a page of a document in order to produce parseable text. The parseable text is then segmented and normalized and an index is generated from the segmented and normalized text. Thereafter, a probability of a particular classification is computed based upon the detection in the index of a combination of words associated with a corresponding classification. Finally, the document is annotated with the particular classification.

Abstract: A document classification method includes processing pages of a document, page by page. For each page, it is determined whether the page contains a transition from one section to another, or if the page contains no transitions. The method additionally includes constructing for the document, a sequence of tags in the memory beginning with an initial tag for an initial page and then a next tag for a next page and continuing with a different tag for each other page in sequential order of the pages leading to a final tag corresponding to a final page. Each tag in the sequence indicates whether a corresponding one of the pages includes or lacks a transition. Finally, the method includes comparing the constructed sequence to a set of previously stored sequences in order to identify a match and classifying the document according to a classification previously associated with the matching sequence.