Smart City Gnosys
Smart city article details
| Title | Towards A Masked Face Recognition Algorithm: A Novel Rule Based Hybrid Algorithm |
|---|---|
| ID_Doc | 57860 |
| Authors | Alexiou M.; Ktistakis I.P.; Goodman G. |
| Year | 2021 |
| Published | 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference, SEEDA-CECNSM 2021 |
| DOI | http://dx.doi.org/10.1109/SEEDA-CECNSM53056.2021.9566244 |
| Abstract | The recent SARS-CoV-2 virus global spread and the Covid-19 pandemic that resulted from that has increased the focus on hygienic and contactless safety measures. The wide use of masks, that are essential for the reduction of the spread of the virus, has been declared mandatory by several institutions and countries. Given the circumstances, masked facial recognition has gained an increased attention by the research community. Mask identification for healthcare reasons, face recognition and identification for public safety in a smart city environment and security reasons proved to be a challenging problem with most algorithms having limitations. The vast amount of data, of people with masks, that has been generated in the recent months will be helpful in tackling some of the major issues. The main issues most methodologies face are occlusion, illumination, non-frontal characteristics and pose variation. This paper focuses on the preliminary results of a novel rule based hybrid masked face recognition algorithm. We use the MaskedFace-net dataset and we detect the covered face using the Viola-Jones algorithm. Through the use of Statistical Region Merging (SRM) we detect the ocular region in the cropped face image, and we achieve eye detection for our preprocessing. Through this process we manage to get a clearer and sharper version of the original input eye image. Finally, we generate the attributed graph of the detected facial features, whose labeled arcs represent the computed distance rations between them. This algorithm will act as input into a machine learning prediction model moving forward. © 2021 IEEE |
| Author Keywords | Covid-19; Face Masks; Face Recognition; Healthcare; Iris; Performance; Smart Cities |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
25979  | 0.889 | Himeur Y.; Al-Maadeed S.; Varlamis I.; Al-Maadeed N.; Abualsaud K.; Mohamed A. | Face Mask Detection In Smart Cities Using Deep And Transfer Learning: Lessons Learned From The Covid-19 Pandemic | Systems, 11, 2 (2023) |
| 30516 | 0.887 | Draughon G.T.S.; Sun P.; Lynch J.P. | Implementation Of A Computer Vision Framework For Tracking And Visualizing Face Mask Usage In Urban Environments | 2020 IEEE International Smart Cities Conference, ISC2 2020 (2020) |
| 11319 | 0.885 | Alsalamah M.S.I. | Automatic Face Mask Identification In Saudi Smart Cities: Using Technology To Prevent The Spread Of Covid-19 | Information Sciences Letters, 12, 6 (2023) |
| 11318 | 0.876 | Kumar T.A.; Rajmohan R.; Pavithra M.; Ajagbe S.A.; Hodhod R.; Gaber T. | Automatic Face Mask Detection System In Public Transportation In Smart Cities Using Iot And Deep Learning | Electronics (Switzerland), 11, 6 (2022) |
| 7694 | 0.857 | Rahman M.M.; Manik M.M.H.; Islam M.M.; Mahmud S.; Kim J.-H. | An Automated System To Limit Covid-19 Using Facial Mask Detection In Smart City Network | IEMTRONICS 2020 - International IOT, Electronics and Mechatronics Conference, Proceedings (2020) |
| 61624 | 0.855 | Issaouı I.; Selmi A. | Weighted Soft Discernibility Matrix With Deep Learning Assisted Face Mask Detection For Smart City Environment | International Journal of Neutrosophic Science, 25, 1 (2025) |
| 16419 | 0.854 | Pham T.-N.; Nguyen V.-H.; Huh J.-H. | Covid-19 Monitoring System: In-Browser Face Mask Detection Application Using Deep Learning | Multimedia Tools and Applications, 83, 22 (2024) |