dc.contributor.author |
Islam, Md. Shahriar |
|
dc.contributor.author |
Moon, Eimdadul Haque |
|
dc.contributor.author |
Shaikat, Md. Ashikujjaman |
|
dc.contributor.author |
Alam., Mohammad Jahangir |
|
dc.date.accessioned |
2021-08-18T10:44:22Z |
|
dc.date.available |
2021-08-18T10:44:22Z |
|
dc.date.issued |
2021-01-18 |
|
dc.identifier.uri |
http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5996 |
|
dc.description.abstract |
Face detection and recognition will be considered as one of the most intriguing modalities for biometric models. Those researches are mainly required for ensuring security in a most sensitive area. This research paper has proposed a very fast image pre-processing with the mask in the center over the faces. For this system, features extraction and Convolutional Neural Network are used for classification and detection of a masked person. This research work will be carried out in three levels: preprocessing the images, cropping the images and classification of the images. This helps to detect whether the face is masked or not. A webcam or CCTV camera surveillance will record all the time and it checks whether the person is wearing a mask, if the person doesn't wear a mask then the system gives a security alert. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
IEEE |
en_US |
dc.subject |
Face recognition |
en_US |
dc.subject |
COVID-19 |
en_US |
dc.subject |
Security |
en_US |
dc.subject |
Feature extraction |
en_US |
dc.subject |
Faces |
en_US |
dc.subject |
Surveillance |
en_US |
dc.subject |
Image recognition |
en_US |
dc.title |
A Novel Approach to Detect Face Mask Using CNN |
en_US |
dc.type |
Article |
en_US |