公开(公告)号：US20210073566A1

公开(公告)日：2021-03-11

申请号：US16565614

申请日：2019-09-10

Applicant: SAP SE

Inventor： Johannes Hoehne ,  Marco Spinaci ,  Anoop Raveendra Katti

IPC: G06K9/34 ,  G06N20/00 ,  G06T7/10 ,  G06F17/18 ,  G06F16/901

Abstract: Disclosed herein are system, method, and computer program product embodiments for optical character recognition (OCR) pre-processing using machine learning. In an embodiment, a neural network may be trained to identify a standardized document rotation and scale expected by an OCR service performing character recognition. The neural network may then analyze a received document image to identify a corresponding rotation and scale of the document image relative to the expected standardized values. In response to this identification, the document image may be modified in the inverse to standardize the rotation and scale of the document image to match the format expected by the OCR service. In some embodiments, a neural network may perform the standardization as well as the character recognition using a shared computation graph.