Automated document extraction and classification

Automated document extraction and classification

A method including receiving a source file containing a plurality of documents which, to a computer, initially are indistinguishable from each other. A first classification stage is applied to the source file using a convolutional neural network image classification to identify source documents in t...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Patchirajan, Karpaga Ganesh, Shamanna, Ram Mohan, Subramanian, Trichur Shivaramakrishnan, Douthit, Ronnie Douglas, Reddy, Chiranjeev Jagannadha, Mohapatra, Deepankar, Huang, Yexin, Mattey, Amar J, Duraisami, Chinnadurai
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:A method including receiving a source file containing a plurality of documents which, to a computer, initially are indistinguishable from each other. A first classification stage is applied to the source file using a convolutional neural network image classification to identify source documents in the multitude of documents and to produce a partially parsed file having a multitude of identified source documents. The partially parsed file includes sub-images corresponding to the plurality of identified source documents. A second classification stage, including a natural language processing artificial intelligence, is applied to sets of text in bounding boxes of the sub-images, to classify each of the multitude of identified source documents as a corresponding sub-type of document. Each of the sets of text corresponding to one of the sub-images. A parsed file having a multitude of identified sub-types of documents is produced. The parsed file is further computer processed.