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
Title | Year | Author | Number |
---|---|---|---|
IMAGE RECOGNITION SYSTEM: BEORG SMART VISION | 2020 |
|
RU2777354C2 |
TEXT RECOGNITION USING ARTIFICIAL INTELLIGENCE | 2017 |
|
RU2691214C1 |
IDENTIFICATION OF FIELDS ON AN IMAGE USING ARTIFICIAL INTELLIGENCE | 2018 |
|
RU2695489C1 |
OBJECT RECOGNITION METHOD IN VIDEO SURVEILLANCE SYSTEM | 2022 |
|
RU2788301C1 |
RECOGNITION OF EVENTS ON PHOTOGRAPHS WITH AUTOMATIC SELECTION OF ALBUMS | 2020 |
|
RU2742602C1 |
INTELLIGENT SYSTEM FOR DETECTING AND PREDICTING EVENTS BASED ON NEURAL NETWORKS | 2021 |
|
RU2797748C2 |
METHOD FOR RECOGNITION OF TEXT IN IMAGES OF DOCUMENTS | 2021 |
|
RU2768544C1 |
TRAINED VISUAL MARKERS AND THE METHOD OF THEIR PRODUCTION | 2016 |
|
RU2665273C2 |
OPTICAL CHARACTER RECOGNITION BY MEANS OF COMBINATION OF NEURAL NETWORK MODELS | 2020 |
|
RU2768211C1 |
METHOD OF TRAINING GOODS RECOGNITION SYSTEM ON IMAGES | 2018 |
|
RU2708504C1 |
Authors
Dates
2021-03-15—Published
2020-07-04—Filed