SYSTEMS AND METHODS TO AUTOMATICALLY CLASSIFY ELECTRONIC DOCUMENTS USING EXTRACTED IMAGE AND TEXT FEATURES AND USING A MACHINE LEARNING SUBSYSTEM
First Claim
1. A document analysis system that automatically classifies documents by recognizing in each document distinctive features that have been automatically learned by said system, so that said system may organize jobs according to the categories of documents the job contains, the document analysis system comprising:
- a document acquisition system for receiving jobs from a plurality of users, each job containing at least one electronic document having at least one page that includes image aspects and text;
a document feature recognition system for automatically extracting image and text features from each received electronic document;
a document classification system for automatically classifying recognized electronic documents as belonging to a corresponding category of document by finding the best match between the extracted features of each said document and feature sets associated with each category of document, in which each feature set includes a set of image and text features and corresponding weights that distinguishes the respective category of document from the other categories of documents;
a document recognition training system for automatically training the feature set for each corresponding category of documents, said training system using extracted features of unrecognized electronic documents to automatically modify the feature set for a document category so that the ability of the document classification system to automatically classify documents improves as the training system is subjected to more and more unrecognized documents and the feature sets are modified accordingly; and
a job organization system for automatically organizing each job according to the categories of documents it contains by organizing electronic documents associated with each job based on at least one business rule that corresponds to the categories of documents.
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Accused Products
Abstract
A document analysis system that automatically classifies documents by recognizing in each document distinctive features comprises a document acquisition system, a document recognition training system, a document classification system, a document recognition system, and a job organization system. The document acquisition system receives jobs wherein each job containing at least one electronic document. The document feature recognition system automatically extracts image and text features from each received document. The document classification system automatically classifies recognized electronic documents by finding the best match between the extracted features of each of the document and feature sets associated with each category of document. The document recognition training system automatically trains the feature set for each corresponding category of documents, wherein the training system using extracted features of unrecognized documents automatically modifies the feature set for a document category. The job organization system automatically organizes each job according to the document categories it contains.
73 Citations
1 Claim
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1. A document analysis system that automatically classifies documents by recognizing in each document distinctive features that have been automatically learned by said system, so that said system may organize jobs according to the categories of documents the job contains, the document analysis system comprising:
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a document acquisition system for receiving jobs from a plurality of users, each job containing at least one electronic document having at least one page that includes image aspects and text; a document feature recognition system for automatically extracting image and text features from each received electronic document; a document classification system for automatically classifying recognized electronic documents as belonging to a corresponding category of document by finding the best match between the extracted features of each said document and feature sets associated with each category of document, in which each feature set includes a set of image and text features and corresponding weights that distinguishes the respective category of document from the other categories of documents; a document recognition training system for automatically training the feature set for each corresponding category of documents, said training system using extracted features of unrecognized electronic documents to automatically modify the feature set for a document category so that the ability of the document classification system to automatically classify documents improves as the training system is subjected to more and more unrecognized documents and the feature sets are modified accordingly; and a job organization system for automatically organizing each job according to the categories of documents it contains by organizing electronic documents associated with each job based on at least one business rule that corresponds to the categories of documents.
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Specification
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- Resources
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Current AssigneeGruntWorx LLC (Drake Software LLC)
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Original AssigneeCopanion, Inc. (Drake Software LLC)
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InventorsMahata, Tushar, Neogi, Depankar, Ladd, Steven K., Ahmed, Dilnawaj, Kumar, Arjun
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Application NumberUS12/266,462Publication NumberTime in Patent OfficeDaysField of SearchUS Class Current382/159CPC Class CodesG06V 30/1985 Syntactic analysis, e.g. us...G06V 30/40 Document-oriented image-bas...
