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

Similar patents RU2744769C1

Title Year Author Number
IMAGE RECOGNITION SYSTEM: BEORG SMART VISION 2020
  • Zuev Georgij Alekseevich
  • Kolosov Anton Aleksandrovich
RU2777354C2
TEXT RECOGNITION USING ARTIFICIAL INTELLIGENCE 2017
  • Orlov Nikita Konstantinovich
  • Rybkin Vladimir Yurevich
  • Anisimovich Konstantin Vladimirovich
  • Davletshin Azat Ajdarovich
RU2691214C1
IDENTIFICATION OF FIELDS ON AN IMAGE USING ARTIFICIAL INTELLIGENCE 2018
  • Kalenkov Maksim Petrovich
RU2695489C1
OBJECT RECOGNITION METHOD IN VIDEO SURVEILLANCE SYSTEM 2022
  • Sivkov Sergei Pavlovich
  • Shalimov Anton Vladimirovich
  • Shalimova Mariia Anatolevna
  • Terekhova Mariia Aleksandrovna
  • Shalimov Aleksandr Antonovich
  • Shalimov Boris Antonovich
RU2788301C1
RECOGNITION OF EVENTS ON PHOTOGRAPHS WITH AUTOMATIC SELECTION OF ALBUMS 2020
  • Savchenko Andrey Vladimirovich
RU2742602C1
INTELLIGENT SYSTEM FOR DETECTING AND PREDICTING EVENTS BASED ON NEURAL NETWORKS 2021
  • Starikov Leonid Anatolevich
RU2797748C2
METHOD FOR RECOGNITION OF TEXT IN IMAGES OF DOCUMENTS 2021
  • Gordeev Dmitrij Vladimirovich
  • Kondratev Kirill Andreevich
  • Ostrovskij Konstantin Igorevich
RU2768544C1
TRAINED VISUAL MARKERS AND THE METHOD OF THEIR PRODUCTION 2016
  • Lempitskij Viktor Sergeevich
RU2665273C2
OPTICAL CHARACTER RECOGNITION BY MEANS OF COMBINATION OF NEURAL NETWORK MODELS 2020
  • Konstantin Anisimovich
  • Alexey Zhuravlev
RU2768211C1
METHOD OF TRAINING GOODS RECOGNITION SYSTEM ON IMAGES 2018
  • Bojko Pavel Yurevich
  • Vinogradov Mark Sergeevich
  • Fedorov Maksim Valerevich
RU2708504C1

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