Face mask recognition with realistic fabric face mask data set: A combination using surface curvature and GLCM

Regina Lionnie, Catur Apriono, Dadang Gunawan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Wearing a mask is a requirement in the Covid-19 pandemic for the general public. While it is one of the several must-do actions to prevent forward spread in the Covid-19 infections, at the same time, the effect of wearing a mask in naïve face recognition systems have shown lower system performance in several cases and conditions. Simultaneously, only a handful of research studies have focused on a non-medical face mask with realistic images data set. This research proposed a new data set of realistic fabric face mask data set to be evaluated using surface curvature and gray level co-occurrence matrix (GLCM). The classification applied support vector machine (SVM). One hundred seventy-six images in the data set were analyzed with various properties, resulting in several experiments. The experiments' parameters were color properties, approaches in surface curvature, i.e., Gaussian, mean and principal curvature, angle and distance in GLCM, GLCM properties, i.e., contrast, homogeneity, correlation and energy, also kernel functions in SVM. The best accuracy result, 87.5%, was derived from the combinations of these parameters. This research also improved the running time of the recognition process while maintaining the system's performance.

Original languageEnglish
Title of host publication2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021 - Proceedings
EditorsSatyajit Chakrabarti, Rajashree Paul, Bob Gill, Malay Gangopadhyay, Sanghamitra Poddar
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665440677
DOIs
Publication statusPublished - 21 Apr 2021
Event2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021 - Toronto, Canada
Duration: 21 Apr 202124 Apr 2021

Publication series

Name2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021 - Proceedings

Conference

Conference2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021
Country/TerritoryCanada
CityToronto
Period21/04/2124/04/21

Keywords

  • Covid-19
  • Face mask recognition
  • Gray level co-occurrence matrix
  • Support vector machine
  • Surface curvature

Fingerprint

Dive into the research topics of 'Face mask recognition with realistic fabric face mask data set: A combination using surface curvature and GLCM'. Together they form a unique fingerprint.

Cite this