Computer vision based air writing recognition

July 2021
Vol-7, Issue-4
Paper ID: 14898
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer science and engineering
Keywords
Computer vision OpenCV TensorFlow Web cam
Abstract
In this recent era, there is a continuous need for automated appliances. Air writing Recognition is a constant video based venture which permits the drawing and composing of English letters in order or number 0-9 through the air, before a web camera or versatile camera. To begin with, it tracks the fingertip in the video edges and afterward applies optical character acknowledgment innovation over the plotted pictures to perceive the composed letters in order or numbers. This gives a human framework connection without necessities of any gadgets for contributing the character through the air. This venture is actualizing by using the Python and Open CV. Here, numbers of various formed characters are utilized. This venture is of programming based methodology and pertinently exceptionally basic, quick, and simple. It doesn't requires any sensors or any equipment's other than a web camera, and is can be utilized to actualize to any remaining dialects utilizing their particular informational indexes, but if any upsetting articles in the foundation it might decrease the outcomes to the clients.

Author Information

# Name Institute / Affiliation
1 dhanaraj S Dayananda sagar academy of technology and management
2 Ashwini R Dayananda sagar academy of technology and management
3 Dr. V. Keerthika Dayananda sagar academy of technology and management
4 Shwetha B K Dayananda sagar academy of technology and management
5 Akash Kumar M B Dayananda sagar academy of technology and management

How to Cite

Use the following formats to cite this article in your research.

APA Style
S, dhanaraj, R, Ashwini, Keerthika, Dr. V., K, Shwetha B, & B, Akash Kumar M (2021). Computer vision based air writing recognition. International Journal of Advance Research and Innovative Ideas In Education, 7(4), 790-794.
MLA Style
S, dhanaraj, et al. "Computer vision based air writing recognition." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 4, 2021, pp. 790-794.
IEEE Style
dhanaraj S, Ashwini R, Dr. V. Keerthika, Shwetha B K, and Akash Kumar M B, "Computer vision based air writing recognition," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 4, pp. 790-794, 2021.
Vancouver Style
S dhanaraj, R Ashwini, Keerthika Dr. V., K Shwetha B, B Akash Kumar M. Computer vision based air writing recognition. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(4):790-794.
Harvard Style
S, dhanaraj, R, Ashwini, Keerthika, Dr. V., K, Shwetha B, & B, Akash Kumar M (2021) 'Computer vision based air writing recognition', International Journal of Advance Research and Innovative Ideas In Education, 7(4), pp. 790-794.
Chicago Style
S, dhanaraj, et al. "Computer vision based air writing recognition." International Journal of Advance Research and Innovative Ideas In Education 7, no. 4 (2021): 790-794.
Turabian Style
S, dhanaraj, et al. "Computer vision based air writing recognition." International Journal of Advance Research and Innovative Ideas In Education 7, no. 4 (2021): 790-794.

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