METHOD FOR RECOGNISING CHEMICAL INFORMATION FROM IMAGES OF DOCUMENT AND SYSTEM FOR IMPLEMENTATION THEREOF Russian patent published in 2022 - IPC G06V30/19 G06T1/40 

Abstract RU 2774665 C1

FIELD: computing technology.

SUBSTANCE: invention relates to the field of computing technology for data recognition. The computer-implemented method includes the following stages: inputting an image of a document page into a detector; the detector identifying fragments on the page; obtaining coordinates of the fragment on the page for each identified fragment; and classifying the fragments; the structure recognition unit recognises the chemical structure for each fragment; inputting the identified reaction arrow fragments into the arrow recognition unit; obtaining coordinates on the page for each arrow and attributes of the reaction; supplying the coordinates on the page to the input of the reaction recognition unit for each fragment of the recognised chemical structures; and, based on the received data, the reaction recognition unit determines the relation between the arrows and the recognised chemical structures; recognised chemical structures are obtained as a result based on the recognised data for the image of a document page.

EFFECT: ensured automatic recognition of chemical information from images of documents, reduction in the duration and increase in the accuracy of recognition of chemical information from images of documents.

17 cl, 7 dwg

Similar patents RU2774665C1

Title Year Author Number
IMAGE RECOGNITION SYSTEM: BEORG SMART VISION 2020
  • Zuev Georgij Alekseevich
  • Kolosov Anton Aleksandrovich
RU2777354C2
OPTICAL CHARACTER RECOGNITION USING SPECIALIZED CONFIDENCE FUNCTIONS, IMPLEMENTED ON THE BASIS OF NEURAL NETWORKS 2018
  • Aleksey Alekseevich Zhuravlev
RU2703270C1
NEURAL NETWORK TRAINING BY MEANS OF SPECIALIZED LOSS FUNCTIONS 2018
  • Aleksey Alekseevich Zhuravlev
RU2707147C1
HANDWRITING RECOGNITION USING NEURAL NETWORKS 2020
  • Andrey Upshinskiy
RU2757713C1
IDENTIFICATION OF FIELDS ON AN IMAGE USING ARTIFICIAL INTELLIGENCE 2018
  • Kalenkov Maksim Petrovich
RU2695489C1
TEXT RECOGNITION USING ARTIFICIAL INTELLIGENCE 2017
  • Orlov Nikita Konstantinovich
  • Rybkin Vladimir Yurevich
  • Anisimovich Konstantin Vladimirovich
  • Davletshin Azat Ajdarovich
RU2691214C1
METHOD FOR RECOGNITION OF TEXT IN IMAGES OF DOCUMENTS 2021
  • Gordeev Dmitrij Vladimirovich
  • Kondratev Kirill Andreevich
  • Ostrovskij Konstantin Igorevich
RU2768544C1
METHOD FOR IMAGE PROCESSING USING ADAPTIVE TECHNOLOGIES BASED ON NEURAL NETWORKS AND COMPUTER VISION 2020
  • Dadayan Artashes Levonovich
  • Kayumov Shamil Anasovich
  • Mayorov Konstantin Yurievich
  • Yurasov Pavel Vladimirovich
RU2744769C1
METHOD AND SYSTEM FOR RECOGNITION OF THE EMOTIONAL STATE OF EMPLOYEES 2021
  • Gordeev Dmitrij Vladimirovich
  • Kondratev Kirill Andreevich
  • Ostrovskij Konstantin Igorevich
RU2768545C1
IDENTIFICATION OF WRITING SYSTEMS USED IN DOCUMENTS 2021
  • Ivan Zagaynov
  • Stanislav Semenov
  • Dmitriy Solntsev
  • Alexey Kalyuzhniy
RU2792743C1

RU 2 774 665 C1

Authors

Khokhlov Ivan Sergeevich

Krasnov Lev Valerevich

Fedorov Maksim Valerievich

Sosnin Sergej Borisovich

Dates

2022-06-21Published

2021-06-28Filed