Patent ID: 8023155
Filing Date: 2011-09-20
Classification: G06Q

Abstract:
1. A computer implemented, expert-system-based, automated document quality control methodology, the expert system comprising a knowledge base and rules to perform reasoning, said methodology comprising the steps of: determining image quality for a plurality of images forming a document via an image quality detector, the image quality detector employing a plurality of algorithms to assess image quality, selecting one or more algorithms from the plurality of algorithms using the expert system's reasoning knowledge and initiating the selected algorithms with parameters and configuration settings provided by the expert system; executing the selected algorithms to assess image quality wherein image quality is represented by a quality value and a level of confidence that reflects, at the level of confidence, whether each of the plurality of images meets one or more quality requirements determined by the expert system; segregating each of the plurality of images into document characteristic segments using one or more image segmentation algorithms of a document integrity analysis unit; determining and classifying image features and characteristics of the document characteristic segments using of the expert system's document analysis knowledge; reasoning relationships among the plurality of images forming the document via the expert system; providing recursively the document image features and characteristics to the expert system to perform reasoning that assesses, at a level of confidence, whether one or more integrity problems exists within a sub-grouping of the scanned images; identifying scanned images of a poor quality or having at least one integrity problem via the expert system; tracking a quality roadmap of each image from the plurality of images forming the document, the quality roadmap built by the image quality detector and document integrity analysis unit, which provide quality values with levels of confidence and integrity results with levels of confidence determined using image quality assessment algorithms; and storing the quality roadmap in an accountability database.