Label and field identification without optical character recognition (OCR)

Systems of the present disclosure allow fields and labels to be identified in a digital image of a form without performing OCR. A digital image of a form can be partitioned into image segments using computer-vision image-segmentation techniques. Features for each image segment can be extracted using...

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Bibliographische Detailangaben
Hauptverfasser: Moise, Daniel L, Ramaswamy, Pallavika, Porcina, Sheldon, Becker, Richard J
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:Systems of the present disclosure allow fields and labels to be identified in a digital image of a form without performing OCR. A digital image of a form can be partitioned into image segments using computer-vision image-segmentation techniques. Features for each image segment can be extracted using computer-vision feature-detection methods. The features extracted from an image segment can be included in an input instance for a machine-learning model. The machine-learning model can assign a classification to the input instance. The classification can associate the input instance with a field type or a label type.