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Title: :  Real-Time Hand Gesture Recognition with Finger Counting (Using OpenCV and Mediapipe)
PaperId: :  26965
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 3 2025
DUI:    16.0415/IJARIIE-26965
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Bhumika SahuRSR Rungta College Of Engineering and Technology
Divya jangidRSR Rungta College Of Engineering and Technology

Abstract

Computer science
Hand Gesture Recognition, Mediapipe, OpenCV, Finger Counting, Real-Time, Human-Computer Interaction, Computer Vision.
Hand gesture recognition plays a crucial role in human-computer interaction, allowing people to communicate with machines in a more natural, intuitive, and efficient way. This paper presents a real-time hand gesture recognition system that utilizes computer vision techniques and Mediapipe’s hand landmark detection to count raised fingers accurately. The implemented pipeline starts by accessing live video from a standard camera and then processes each frame to extract hand landmarks. Subsequently, an algorithm identifies the number of raised fingers for both left and right hands by analyzing landmark positions. The system performs robustly under different lighting conditions and hand orientations, making it suitable for a range of applications, including interactive games, education, sign language recognition, and industrial automation. The main contribution of this paper lies in its lightweight, cost-effective, and real-time approach for gesture recognition, demonstrating the potential of computer vision to enable more natural human-machine interaction.

Citations

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IJARIIE Bhumika Sahu, and Divya jangid. "Real-Time Hand Gesture Recognition with Finger Counting (Using OpenCV and Mediapipe)" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 3 2025 Page 4246-4251
MLA Bhumika Sahu, and Divya jangid. "Real-Time Hand Gesture Recognition with Finger Counting (Using OpenCV and Mediapipe)." International Journal Of Advance Research And Innovative Ideas In Education 11.3(2025) : 4246-4251.
APA Bhumika Sahu, & Divya jangid. (2025). Real-Time Hand Gesture Recognition with Finger Counting (Using OpenCV and Mediapipe). International Journal Of Advance Research And Innovative Ideas In Education, 11(3), 4246-4251.
Chicago Bhumika Sahu, and Divya jangid. "Real-Time Hand Gesture Recognition with Finger Counting (Using OpenCV and Mediapipe)." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 3 (2025) : 4246-4251.
Oxford Bhumika Sahu, and Divya jangid. 'Real-Time Hand Gesture Recognition with Finger Counting (Using OpenCV and Mediapipe)', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, 2025, p. 4246-4251. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Real_Time_Hand_Gesture_Recognition_with_Finger_Counting__Using_OpenCV_and_Mediapipe__ijariie26965.pdf (Accessed : ).
Harvard Bhumika Sahu, and Divya jangid. (2025) 'Real-Time Hand Gesture Recognition with Finger Counting (Using OpenCV and Mediapipe)', International Journal Of Advance Research And Innovative Ideas In Education, 11(3), pp. 4246-4251IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Real_Time_Hand_Gesture_Recognition_with_Finger_Counting__Using_OpenCV_and_Mediapipe__ijariie26965.pdf (Accessed : )
IEEE Bhumika Sahu, and Divya jangid, "Real-Time Hand Gesture Recognition with Finger Counting (Using OpenCV and Mediapipe)," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, pp. 4246-4251, May-Jun 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/Real_Time_Hand_Gesture_Recognition_with_Finger_Counting__Using_OpenCV_and_Mediapipe__ijariie26965.pdf [Accessed : ].
Turabian Bhumika Sahu, and Divya jangid. "Real-Time Hand Gesture Recognition with Finger Counting (Using OpenCV and Mediapipe)." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 3 ().
Vancouver Bhumika Sahu, and Divya jangid. Real-Time Hand Gesture Recognition with Finger Counting (Using OpenCV and Mediapipe). International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(3) : 4246-4251. Available from: https://ijariie.com/AdminUploadPdf/Real_Time_Hand_Gesture_Recognition_with_Finger_Counting__Using_OpenCV_and_Mediapipe__ijariie26965.pdf
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