METHOD FOR IMAGE PROCESSING USING ADAPTIVE TECHNOLOGIES BASED ON NEURAL NETWORKS AND COMPUTER VISION Russian patent published in 2021 - IPC G06T1/40 G06K9/62 G06F16/35 

Abstract RU 2744769 C1

FIELD: image processing.

SUBSTANCE: group of inventions relates to image processing, in particular to recognition of the type of document and its content from a stream of arbitrary images. The method includes the steps of extracting a document image using machine vision algorithms from a set of arbitrary images; determining the proposed type of document using a convolutional neural network based on the extracted document image, while the convolutional network sets the degree of similarity of the document image with known document types based on the specified document samples; determining the document type using a recurrent neural network based on the proposed document type received from the convolutional neural network, while the recurrent neural network evaluates the degree of similarity of the document with the intended document type based on machine learning algorithms. Data contained in a document are recognized based on a specific type of document; the recognized data are saved.

EFFECT: group of inventions ensures correct recognition of the document and restoring its content from the stream of images, even in the presence of illegible text or its absence on a part of the document.

40 cl, 2 dwg, 3 tbl

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RU 2 744 769 C1

Authors

Dadayan Artashes Levonovich

Kayumov Shamil Anasovich

Mayorov Konstantin Yurievich

Yurasov Pavel Vladimirovich

Dates

2021-03-15Published

2020-07-04Filed