Hand Gesture Recognition using Python and OpenCV

Jyothi Lekshmi K. S.*, T. Brindha**
*-** Department of Information Technology, Noorul Islam Centre for Higher Education, Kumaracoil, Tamil Nadu, India.
Periodicity:January - June'2024
DOI : https://doi.org/10.26634/jpr.11.1.20863

Abstract

Hand gesture recognition has become increasingly popular as a practical means of enhancing human-computer interaction, especially with its widespread adoption in gaming devices like Xbox and PS4, as well as in other devices such as laptops and smartphones. This technology finds applications in various fields, including accessibility support, crisis management, and medicine. Typically, these systems employ Java and a comprehensive database, showcasing various evolutionary methods and precise descriptions, along with the output and tests conducted to refine the software artifact. The proposed system is at the intersection of machine learning and image processing, utilizing different APIs and tools to streamline processes and enhance customization. It aims to be developed using OpenCV and Python, leveraging the former for image processing and the latter for machine learning. This results in a lighter system with less complex code and a reduced database footprint. This approach enables the system to run efficiently even on mini computers without compromising user experience, leading to a cost-effective solution capable of handling various tasks.

Keywords

Python, OpenCV, Customization, Cost Efficiency, Mini Computers, Hand Gesture Recognition, Computer Vision, Image Processing.

How to Cite this Article?

Lekshmi, K. S. J., and Brindha, T. (2024). Hand Gesture Recognition using Python and OpenCV. i-manager’s Journal on Pattern Recognition, 11(1), 7-12. https://doi.org/10.26634/jpr.11.1.20863

References

[1]. AlSaedi, A. K. H., & AlAsadi, A. H. H. (2020). A new hand gestures recognition system. Indonesian Journal of Electrical Engineering and Computer Science, 18(1), 49-55.
[3]. Garg, P., Aggarwal, N., & Sofat, S. (2009). Vision based hand gesture recognition. International Journal of Computer and Information Engineering, 3(1), 186-191.
[4]. Ismail, A. P., Abd Aziz, F. A., Kasim, N. M., & Daud, K. (2021, February). Hand gesture recognition on python and opencv. In IOP Conference Series: Materials Science and Engineering, 1045 (1), 012043. IOP Publishing.
[8]. Ray, D. K., Soni, M., Johri, P., & Gupta, A. (2004). Hand gesture recognition using python. International Journal on Future Revolution in Computer Science & Communication Engineering, 4(6), 2459-5462.
[9]. Sarkar, A. R., Sanyal, G., & Majumder, S. J. I. J. O. C. A. (2013). Hand gesture recognition systems: A survey. International Journal of Computer Applications, 71(15), 26-37.
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