Article Id - JCET_5_01_001, Pages : 1-6, Date of Publication : 27, August 2022
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Scopedatabase Link : https://sdbindex.com/Document/document_search?title=FACE MASK DETECTION&type=1
Global pandemic COVID-19 circumstances included in dangerous disease in all the world. Wearing a mask on face will useful to reduce the spread of infection and prevent the individual from contracting any airborne infectious germs. Using Face Mask Detection System, one can find out if the people are wearing masks or not. Here HAAR-CASACADE algorithm is used for image detection. Combining with other existing algorithms, this classifier useful for a high recognition rate even with varying expressions, selection of efficient feature and low assortment of false positive features. HAAR feature-based cascade classifier system have recognition rate of 85-95%. According to this motivation we are work on mask detection as a unique and public health service system during the global pandemic COVID-19 epidemic. The model is trained by face mask image and without face mask image.
COVID-19 Epidemic, Face Mask Image, HAAR-CASACADE Algorithm, Mask Detection, Without Face Mask Image
Share and Cite:
 M. S. Ejaz and M. R. Islam, "Masked Face Recognition Using Convolutional Neural Network," 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI), 2019, pp. 1-6, doi: 10.1109/STI47673.2019.9068044
 M. R. Bhuiyan, S. A. Khushbu and M. S. Islam, "A Deep Learning Based Assistive System to Classify COVID-19 Face Mask for Human Safety with YOLOv3," 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
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Aim and Scope
Journal of Computer Engineering & Technology (JCET) is open access and peer-reviewed Journal promoting the dissemination of original research and technological implementation experiences in the areas of Computer Engineering. JCET is aimed at the general public interested in research, development and applications in the previous mentioned areas, providing a common place to encourage interaction among these community members.
The journal welcomes publications of high-quality papers on theoretical developments and practical applications in computer science and engineering. Original research papers, state-of-the-art reviews, and high-quality technical notes are invited for publications.
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