Abstract:
In this paper, the text drawn by the user in the air
followed by the is captured by the computer's camera,
identification of that text. So, the video camera will be turned on
at the time of capturing the written text. Now the particular
object is defined based on its colour to detect a movement done
by the user. The colour is captured by the lower and upper
bound of HSV (Hue Saturation Value), which finally leads to
object detection at every instant. Lastly, the text will be
recognized by the trained model. The model is trained by CNN
(Convolution Neural Network) with am accuracy of 98.64%
(training) and 98.24% (testing). For completion of the project,
OpenCV, python programming language, and its libraries are
used. This project requires only a camera and a defined object.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2021
Modified:
2024-06-13
Issued:
2024-06-13
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Computer Society. 2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT 2021) (pp.292-295). Los Alamitos, CA : IEEE Computer Society