Image quality analysis method and apparatus
AssigneeInternational Business Machines Corporation
InventorsCraig Dennis Curley, Thomas Chester Smith, Filip Jay Yeskel
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AssigneeInternational Business Machines Corporation
InventorsCraig Dennis Curley, Thomas Chester Smith, Filip Jay Yeskel
Estimating the term…
A document imaging system includes means whereby a large number of anomalous condition indicators or flags that define anomalous conditions that may occur as a result of the operation of a document scanner and/or document processor. A computationally efficient subset of flags and flag combinations is defined, and these subsets of flags and flag combinations (system states) are related to a quantitative measure of the quality (degree of suspiciousness) of the related document images, the documents themselves, and units of work that contain a plurality of documents. The machine computation of quality is compared to a human perception of quality, and computational input parameters are adjusted to improve the match of computational quality to the human quality perception, thus teaching the machine to make proper determinations of image and document quality.
Apparatus for use with a machine based imaging system that is operable to scan a plurality of documents within a unit of work, and provides a plurality of images corresponding to each of said documents, said imaging system including means whereby a plurality of anomalous condition flags are set during operation of said imaging system, said apparatus operating to provide a quantitative measure of success of the operation of said imaging system, said apparatus comprising;
A method of making an machine-based accept-decision or reject-decision for a unit-of-work that comprises a plurality of documents that are scanned by operation of a machine-based-imaging-system, wherein said machine-based-imaging-system includes means whereby a plurality of anomalous-condition-indicators are set during operation of said machine-based-imaging-system, and wherein said each of said documents within said unit-of-work includes a plurality of images, the method comprising the steps of;
A method for machine-determining a unit-of-work suspiciousness-value that is based upon a machine-determination of the quality of digital images of documents that are within said unit-of-work, comprising the steps of;
Dependencies are inferred from the claim text.