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Development of Technologies Based on Additional Properties
- Authors: Zatsarinny A.A.1, Karandeev A.A.2, Maslov A.E.1, Osipov V.P.2, Apalkov N.Y.3
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Affiliations:
- Federal Research Center “Computer Science and Control of Russian Academy of Sciences”
- Federal Research Center "Keldysh Institute of Applied Mathematics of Russian Academy of Sciences"
- Plekhanov Russian University of Economics
- Issue: No 1 (2024)
- Pages: 67-74
- Section: Intelligent systems and technologies
- URL: https://journals.rcsi.science/2071-8632/article/view/287325
- DOI: https://doi.org/10.14357/20718632240107
- EDN: https://elibrary.ru/CZSVDM
- ID: 287325
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Abstract
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.
About the authors
Alexander A. Zatsarinny
Federal Research Center “Computer Science and Control of Russian Academy of Sciences”
Author for correspondence.
Email: AZatsarinny@ipiran.ru
Doctor of Science in technology, professor, principal scientist
Russian Federation, MoscowAlexander A. Karandeev
Federal Research Center "Keldysh Institute of Applied Mathematics of Russian Academy of Sciences"
Email: KarAlex755@gmail.com
PhD in Engineering sciences
Russian Federation, MoscowAlexey E. Maslov
Federal Research Center “Computer Science and Control of Russian Academy of Sciences”
Email: amaslov@frccsc.ru
Researcher
Russian Federation, MoscowVladimir P. Osipov
Federal Research Center "Keldysh Institute of Applied Mathematics of Russian Academy of Sciences"
Email: osipov@keldysh.ru
PhD in Engineering sciences, leading researcher
Russian Federation, MoscowNikita Y. Apalkov
Plekhanov Russian University of Economics
Email: nikita_apalkov@mail.ru
Master's degree student
Russian Federation, MoscowReferences
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