Authors
Cho Nilar Phyo, Thi Thi Zin, Hiroshi Kamada, Takashi Toriu
Corresponding Author
Cho Nilar Phyo
Available Online 31 March 2018.
DOI
https://doi.org/10.2991/jrnal.2018.4.4.6How to use a DOI?
Keywords
color segmentation, shape classification, interactive e-learning.
Abstract
This paper proposes an effective method for detecting and classifying card images by using color and shape features. We extract the card color area using color information and remove low possibility regions based on shape feature. Then, we classify the image by taking classroom size and camera distance. In order to confirm the proposed method, we conduct the experiments with our own videos. According to experimental results the proposed method achieves the overall accuracy of 93.93% in various classroom type (small and large).

Copyright
© 2018, the Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).