• Simranjeet Kaur
• Priyanka Jarial
• Navroz Kahlon

As the entire world battles COVID19, masks have been made mandatory in public places, offices, and bus stops, among other places. Although recognizing masked faces with various head pose angles is a huge difficulty for professionals. A number of techniques for identifying faces hidden behind masks have been developed in recent years. These technologies were difficult to utilize, and the feature extraction approaches used were ineffective. This research proposes an effective way to overcome the constraints of conventional models. The suggested model chooses images from the available dataset and detects faces from these images. to detect edges and extract more features, these discovered faces images are then transformed to grey scale images. Moreover, the proposed model employs PCA and GLCM feature extraction schemes to extract additional informative features from the images. The network's dimensionality is reduced by PCA, and the GLCM extracts four texture-based features: contrast, correlation, energy, and homogeneity. After that, all of these features are merged into a single feature matrix. The suggested CNN network is then given the feature matrix for training and testing purposes. Finally, the suggested model's performance is evaluated in terms of several dependent variables using the MATLAB simulation software. The results of the simulations demonstrated that the suggested model is more effective at detecting masked faces.

COVID-19, Deep learning (DL), mask detection

"CONVOLUTIONAL NEURAL NETWORK BASED FACE MASK DETECTION USING GLCM AND PCA FEATURE EXTRACTION ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 12, page no.c1-c8, December-2021, Available :http://www.jetir.org/papers/JETIR2112201.pdf

"CONVOLUTIONAL NEURAL NETWORK BASED FACE MASK DETECTION USING GLCM AND PCA FEATURE EXTRACTION ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 12, page no. ppc1-c8, December-2021, Available at : http://www.jetir.org/papers/JETIR2112201.pdf