METHOD FOR NEURAL NETWORK CONTROL OF TEXT DATA ON DOCUMENT IMAGES Russian patent published in 2023 - IPC G06V30/00 

FIELD: neural networks.

SUBSTANCE: method for neural network control of text data on document images. In the method, input image f of a text field is supplied to the input, and for image f it is known that in the original document the text information on it has property A, width W_f of image f of the text field is also known, and the input field of image f is in the RGB colour space containing the text field of the document is processed by a neural network detector for monitoring text data according to the following algorithm: the image of field f is converted into a single-channel image, after which it is fed to the input of a trained full-convolutional neural network; at the output, the neural network assigns values for each vertical line corresponding to the middle of the receptive field and w_A - confidence estimates for 2 possible classes: class in which the property is missing in the text field; class A, in which the property is present in the text field; calculate the amounts and S_A values of confidence estimates for the 2 possible classes along all vertical lines of the image ƒ text field: check for the presence of an anomaly in f, and if an anomaly is not found in the text field in question, then the image ƒ the text field in question has property A if if an anomaly is found in the text field under consideration, then image f of the text field is considered to have property A in presence of an anomaly, if the condition is met, otherwise image f of the text field does not have property A.

EFFECT: ensuring control of text data on document images.

1 cl, 10 dwg, 1 tbl