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Face Mask Recognition based on Facial Feature and Skin Color Conversion
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 184 - Number 48 |
| Year of Publication: 2023 |
| Authors: Md. Ziaur Rahman |
10.5120/ijca2023922593
|
Md. Ziaur Rahman . Face Mask Recognition based on Facial Feature and Skin Color Conversion. International Journal of Computer Applications. 184, 48 ( Feb 2023), 1-7. DOI=10.5120/ijca2023922593
Abstract
In current decays, COVID-19 became a great issue to all. Face mask detection is an important and active research area in the field of computer vision and human computer interaction. To get rid from COVID-19 everyone’s needs to wear mask. So, it is an important task to detect the face mask in the open place to stop the spread of COVID-19. In this regard, in this work, a system is proposed to detect the face mask from an input image through the facial feature and skin color conversion. For that, initially, the facial region is extracted from the input image. From the extracted facial region 68 shape predictor facial landmarks are extracted. Based on these landmarks, the facial features of jaw, nose and mouth region are extracted. As the face mask covers the facial region of jaw, nose and mouth, so, whether, a person wear the mask or not can be recognize by analyzing the skin color of jaw, nose and mouth region. Finally, the proposed method is justified with different images i.e., mask or non-mask that are captured from different environmental conditions. The proposed method shows significant improvement with present state of the art.
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