Development of Technologies Based on Additional Properties

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Resumo

The article discusses various image recognition technologies and proposes methods to enhance them by exploring additional features. In particular, a new approach is introduced that contributes to improving image recognition by using Harris corners as additional features in images. This significantly enhances the accuracy of the recognition classification model. The significance of this approach lies in its ability to enhance the recognition system's capabilities in detecting and highlighting key object features, ultimately leading to more reliable and efficient results in data analysis, processing, and classification. It also increases the model's robustness. Thanks to these improvements, this image recognition technology can be successfully applied in various fields where high accuracy and reliability are required in information recognition, such as medicine, vehicle classification, and more.

Sobre autores

Alexander Zatsarinny

Federal Research Center “Computer Science and Control of Russian Academy of Sciences”

Autor responsável pela correspondência
Email: AZatsarinny@ipiran.ru

Doctor of Science in technology, professor, principal scientist

Rússia, Moscow

Alexander Karandeev

Federal Research Center "Keldysh Institute of Applied Mathematics of Russian Academy of Sciences"

Email: KarAlex755@gmail.com

PhD in Engineering sciences

Rússia, Moscow

Alexey Maslov

Federal Research Center “Computer Science and Control of Russian Academy of Sciences”

Email: amaslov@frccsc.ru

Researcher

Rússia, Moscow

Vladimir Osipov

Federal Research Center "Keldysh Institute of Applied Mathematics of Russian Academy of Sciences"

Email: osipov@keldysh.ru

PhD in Engineering sciences, leading researcher

Rússia, Moscow

Nikita Apalkov

Plekhanov Russian University of Economics

Email: nikita_apalkov@mail.ru

Master's degree student 

Rússia, Moscow

Bibliografia

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