Research on the extraction of RMB decorative pattern configuration and its innovative design: Analysis based on OpenCV calculator visual library and shape grammars

Issue 56, 2024

computer technology; image processing; syntactic structure extraction; monetary unit

Received 18.12.2023, Revised 20.03.2024, Accepted 12.06.2024

https://doi.org/10.54919/physics/56.2024.13utv2

Abstract

Relevance. The study addresses the potential application of configuration rules in creating decorative designs for RMB, focusing on improving design aesthetics and functionality.

Purpose. To analyze the feasibility of using configuration rules to enhance the design of Chinese currency.

Methodology. The study involved the analysis and synthesis of decorative patterns, the establishment of configuration rules, and the examination of their application in currency design.

Results. The findings demonstrate that configuration rules can effectively utilize existing patterns to improve Chinese currency design, providing opportunities for new design variations that align with modern aesthetic and functional requirements. The analysis revealed that Chinese currency patterns often embody cultural significance, historical events, and characters through complex geometric and abstract elements. Key features of the patterns were identified, highlighting the potential for more efficient use of configuration rules in design.

Conclusions. Configuration rules can successfully organize and enhance the decorative patterns in the Chinese currency. The study confirms the feasibility of applying these rules to create cohesive and culturally rich designs. Additionally, the integration of configuration rules can streamline the design process and ensure consistency in aesthetic quality.

Keywords: computer technology; image processing; syntactic structure extraction; monetary unit

Suggested citation

YueXiang Lin. Research on the extraction of RMB decorative pattern configuration and its innovative design: Analysis based on OpenCV calculator visual library and shape grammars. Sci Herald Uzhhorod Univ Ser Phys. 2024;(56):132-144. DOI: 10.54919/physics/56.2024.13utv2

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References

  1. Xie J. Innovative design of artificial intelligence in intangible cultural heritage. Scien Prog. 2022;6913046:1-8.
  2. Mang Z. The image research and design enhancement of the fifth set of RMB banknotes. Beijing: Tongfang CNKI Technology Co., Ltd.; 2021.
  3. Guo W. Research on the prospect and path of development of RMB as an international reserve currency. Inter J Glob Econ Man. 2024;2(2):7-11.
  4. Bodkhe N, Bodkhe D, Tayade A, Makode S, Khalsa N. Detection and counting of fake currency & genuine currency using image processing. Inter J Innov Sci Res Tech. 2024;9(4):2106-2111.
  5. Kumar SB, Raju VS, Maheswari UV. OpenCV libraries for computer vision. In: Computer Vision: Applications of Visual AI and Image Processing. (pp. 1-22). Boston: De Gruyter; 2023.
  6. Ogechi Ogbuokiri B, Raborife M. Visual password scheme using bag context shape grammars. In: Intelligent Systems Design and Applications. (pp. 35-47). Cham: Springer; 2021.
  7. Mashhour A. Structural foundations of organic decorative designs as an approach for teaching design-based on cognitive theory. 2023;24(2). https://bu.edu.eg/staff/aya.mashhour-publications/52637
  8. Fathima Chandhini S, Rashad H, Gowseelan K, Jayasarathy S. Extraction of character from visuals and images using OpenCV. Inter J Scien Res Comp Sci Eng Infor Tech. 2023;9(3):194-200.
  9. Silva Costa CJ, Costa Frade MA. The future of heritage science and technologies. In: The Future of Heritage Science and Technologies. (pp. 197-209). Cham: Springer; 2022.
  10. Sikharam UM, Sabnis V, Jain JK. Revolutionizing frequent pattern mining: Innovative algorithms in the mapreduce framework for enhanced computational efficiency. Inter J Rec Innov Tren Comp Com. 2024;11(9):4749-4758.
  11. Catherine S, Rani MN, Suresh NV. The metaverse economy: Transforming money with digital currency. In: Creator’s Economy in Metaverse Platforms: Empowering Stakeholders Through Omnichannel Approach (pp. 202-209). IGI Global; 2024.
  12. Tambunan L, Ginting JA, Gultom JM. Implementation of deep learning in the application of lecture attendance system with face recognition technology based on OpenCV. Elec Eng. 2024;2(2):100-109. https://www.researchgate.net/publication/378983999_Implementation_of_Deep_Learning_in_the_Application_of_Lecture_Attendance_System_with_Face_Recognition_Technology_Based_on_OpenCV
  13. Teja YV. Detection of fake currency using machine learning. Inter J Scie Res Eng Man. 2024;8(4):1-4.
  14. Otitoju MA, Sunday GA, Abiola IB, Abudu WA. Impact of currency re-design on Nigeria economy 2022-2023. Inter J Soc Sci Hum Res. 2023;11(3):50-56.
  15. Bilgen C, Dutto M, Colberg T. Analyzing the CBDC tree: The case of the Bahamian sand dollar using three-level central bank digital currency design framework. 2024. p. 1-26. https://www.researchgate.net/publication/379227178_Analyzing_the_CBDC_Tree_The_Case_of_the_Bahamian_Sand_Dollar_Using_Three-Level_Central_Bank_Digital_Currency_Design_Framework
  16. Syarifuddin F. Optimal central bank digital currency design for emerging economies. J Cent Bank Law Inst. 2024;3(2):361-392.
  17. Diniz E, Araujo MH, Alves MA, Gonzalez LE. Design principles for sustainable community currency projects. Sust Sci. 2024;19:1-15.
  18. Bilgen C. Creating the future of money: Considerations, options & types of central bank digital currency design. 2023. https://www.researchgate.net/publication/373335235_Creating_the_Future_of_Money_Considerations_Options_Types_of_Central_Bank_Digital_Currency_Design
  19. Sweetline Shamini S, Nandhini G, Varshini RS, Dharini T. Fake currency detection. E3S Web Conf. 2024;491(02020):1-9.
  20. Yusmerita Y, Aryati Y, Hujria Suci P. Application of environment learning models to the results of motive design in decorative design courses. J Pen Pend Indon. 2023;9(2):999-1007.
  21. Desai S, Chavan P, Badade P, Gangurde I, Parkhe V. Counterfeit currency detection. Inter J Adv Res Sci Com Tech. 2024;4(1):212-214.
  22. Gouri MH, Kumar M. Computer vision with open CV. Noble Science Press; 2023. Chapter 05, Engineering the Future: Machine Learning and Data Science in Practice; p. 35-40.
  23. Prayudya DR, Al-Ayubi S. Islamic central bank digital currency (CBDC) design. J Ekon Isl. 2023;14(1):142-166.
  24. Telalbasic I. A conceptual framework for social currency innovation: A service design perspective. Strat Des Res J. 2021;14(2):407-422.
  25. Samaei SR, Behdadfar E. Design reconstruction using artificial intelligence and machine learning. 2024. https://civilica.com/doc/1950330/
  26. Kumar HM. Electronic library and design generation using image and text processing. 2018. https://patents.justia.com/patent/10558774
  27. Johani AA. A qualitative study of the impact of currency on socio-cultural identity. In: BUiD Doctoral Research Conference. (pp. 425-432). Cham: Springer; 2024.
  28. Blazhev B. Artificial intelligence and graphic design. Cult Hist Her: Preser, Presen, Digit. 2023;9(1):112-130.
  29. Ueda K, Hay C. Design of a central bank digital currency in a highly dollarized emerging market economy: The case of Cambodia. Asia Econ Pol Rev. 2024;9999:1-19.
  30. Deng H. Negotiating currency internationalization: An infrastructural analysis of the digital RMB. Fin Soc. 2023:1-19.
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