Masked face identification using face recognition

Masked face identification using face recognition

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliografski detalji
Glavni autori:	Hossen, Tareq, Uddin, Abbas, Barua, Niloy, Faik, Chowdhury Azmain
Daljnji autori:	Rhaman, Md. Khalilur
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2024
Teme:	Masked face Face recognition CNN MTCNN Deep learning ResNet V1 Cognitive learning theory Neural networks (Computer science)
Online pristup:	http://hdl.handle.net/10361/23942

Similar Items

Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet
od: Al-imran, i dr.
Izdano: (2019)

Approaching transfer learning to identify correctly worn facial masks
od: Sadid, Tausif, i dr.
Izdano: (2021)

An ambient assisted living system for Alzheimer’s patients
od: Abedin, Minhajul, i dr.
Izdano: (2023)

Obscure face recognition using deep neural networks
od: Akash, MD Shahadat Hossain, i dr.
Izdano: (2023)

Face recognition based home security system
od: Sakib, Sadman, i dr.
Izdano: (2021)

An efficient deep learning approach for 3D face detection using multiple angular 2D images
od: Rafsan, Nayeem, i dr.
Izdano: (2023)

A deep face-mask detection model using DenseNet169 and image processing techniques
od: Bhowmik, Durjoy, i dr.
Izdano: (2022)

An efficient face recognition model using multiple angular images and deep neural network architecture
od: Subah, Silma, i dr.
Izdano: (2024)

Deep learning-based waste classification system for efficient waste management
od: Nakib, Abdullah Al, i dr.
Izdano: (2022)

Citrus leaf disease detection by image processing
od: Chowdhury, Mahir Faisal, i dr.
Izdano: (2024)

Implementation of diffusion model in realistic face generation
od: Rahman, Abidur, i dr.
Izdano: (2024)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
od: Tasnim, Sadia, i dr.
Izdano: (2023)

Machine learning approach for face recognition from 3D models generated by multiple 2D angular images
od: Mahmud, Moinuddin, i dr.
Izdano: (2019)

FoodieCal: a convolutional neural network based food detection and calorie estimation system
od: Mashraf, Chowdhury Zerif, i dr.
Izdano: (2021)

IoT based automated entry system with integration of Covid-19 symptom detection
od: Ruhin, Rubaiyat Alam, i dr.
Izdano: (2024)

Mask Mandates Save Lives /
od: Hansen, Niels-Jakob
Izdano: (2021)

Human identification using wifi signal
od: Nipu, Md. Nafiul Alam, i dr.
Izdano: (2018)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
od: Athina, Fahima Hasan, i dr.
Izdano: (2022)

Design and VLSI implementation of high performance face recognition system
od: Dewan, Priyanka Das, i dr.
Izdano: (2013)

Violent activity detection through surveillance camera using deep learning
od: Miah, Parvez, i dr.
Izdano: (2023)

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
od: Awwal, Alvina, i dr.
Izdano: (2021)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
od: Shahriar, Farhan, i dr.
Izdano: (2021)

An efficient approach of face detection and recognition from digital images for modern security and office hour attendance system
od: Anik, Md. Kamrul Islam
Izdano: (2016)

Code switching in face-book by Bangladeshi face-book users
od: Khadim, Safura Nahar Khan
Izdano: (2015)

Hardware architecture design of face recognition system based on FPGA
od: Mondol, Raktim Kumar, i dr.
Izdano: (2016)

Identifying brain abnormalities using image processing and CNN models
od: Talukder, Ismat Shehrin, i dr.
Izdano: (2021)

Machine fault diagnosis using a modified transferable CNN
od: Shammi, Sanjana Khan
Izdano: (2024)

A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
od: Akhter, Nasrin
Izdano: (2023)

Online language teaching and learning: present condition and future prospects in Bangladeshi primary education system
od: Sarkar, Likhan
Izdano: (2017)

Covid-19 infected lung detection using machine learning
od: Islam, Md. Muntaha, i dr.
Izdano: (2022)

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
od: Khisa, Pushpakali, i dr.
Izdano: (2024)

A comparative study of lung cancer prediction using deep learning
od: Mugdho, Aka Mohammad, i dr.
Izdano: (2023)

Detecting brain tumor using deep neural networks from MRI images
od: Imamuzzaman, A.S.M., i dr.
Izdano: (2021)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
od: Ismail, Sayem Mohammad, i dr.
Izdano: (2021)

A hybrid fake banknote detection model using OCR, face recognition and hough features
od: Zarin, Adiba, i dr.
Izdano: (2018)

Computer vision based employee activities analysis
od: Hoque, Md. Rezwanul, i dr.
Izdano: (2013)

Online language teaching and learning: present condition and future prospects in Bangladeshi primary education system
od: Sarkar, Likhan
Izdano: (2017)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
od: Rahman, Afridi Ibn, i dr.
Izdano: (2022)

Detection of coronary artery blockage at an early stage using effective deep learning technique
od: Promit, Tahmid Ashrafee, i dr.
Izdano: (2023)

Automatic attendance system using facial recognition
od: Sikdar, Tushar, i dr.
Izdano: (2022)