Real-Time Face Recognition with Mask using Deep Convolutional Neural Network

Author:

Mahmud Joy Md. Ashif1ORCID,Khan Chowdhury Md. Fuad Hasan2ORCID,Afroz Sinha2ORCID,Islam Md. Nurul1ORCID,Muhsinat Ruaida2ORCID,Moly Mukta Akanda2ORCID,Farid Dewan2ORCID

Affiliation:

1. Department of Computer Science & Engineering, United International University, Bangladesh and Department of Computer Science & Engineering, The International University of Scholars, Bangladesh

2. Department of Computer Science & Engineering, United International University, Bangladesh

Publisher

ACM

Reference25 articles.

1. Wael Abd Almageed , Wu Yue , Stephen Rawls , Shai Harel , Tal Hassner , Iacopo masi , Choi Jangmoo, Jatuporn Toy Leksut, Kim Jungyeon, Prem Natarajan, Ram nevatia, and Gerard Medioni. 2016 . Face recognition using deep multi-pose representations. In 2016 IEEE winter conference on applications of computer vision (WACV). IEEE , 1–9. Wael Abd Almageed, Wu Yue, Stephen Rawls, Shai Harel, Tal Hassner, Iacopo masi, Choi Jangmoo, Jatuporn Toy Leksut, Kim Jungyeon, Prem Natarajan, Ram nevatia, and Gerard Medioni. 2016. Face recognition using deep multi-pose representations. In 2016 IEEE winter conference on applications of computer vision (WACV). IEEE, 1–9.

2. An improved face recognition algorithm and its application in attendance management system

3. Face detection based on skin color likelihood

4. MaskedFace-Net – A dataset of correctly/incorrectly masked face images in the context of COVID-19

5. Musab Coúkun , Ayúegül Uçar , Özal YÕldÕrÕm , and Yakup Demir . 2017 . Face recognition based on convolutional neural network . In 2017 International Conference on Modern Electrical and Energy Systems (MEES). IEEE, 376–379 . Musab Coúkun, Ayúegül Uçar, Özal YÕldÕrÕm, and Yakup Demir. 2017. Face recognition based on convolutional neural network. In 2017 International Conference on Modern Electrical and Energy Systems (MEES). IEEE, 376–379.

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