An efficient approach of face detection and recognition from digital images for modern security and office hour attendance system

An efficient approach of face detection and recognition from digital images for modern security and office hour attendance system

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015.

Bibliografske podrobnosti
Glavni avtor:	Anik, Md. Kamrul Islam
Format:	Thesis
Jezik:	English
Izdano:	BRAC University 2016
Teme:	Computer science and engineering Face detection
Online dostop:	http://hdl.handle.net/10361/4663

Podobne knjige/članki

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

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

Smart security system based on frontal face detection method and android mobile
od: Khan, Mahjabeen
Izdano: (2017)

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

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

Masked face identification using face recognition
od: Hossen, Tareq, et al.
Izdano: (2024)

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

Development of intelligent home security system
od: Islam, Sayedul, et al.
Izdano: (2017)

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

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

A hybrid fake banknote detection model using OCR, face recognition and hough features
od: Zarin, Adiba, et al.
Izdano: (2019)

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

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

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

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

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

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

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

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

Monitoring driver awareness through eye tracking
od: Chowdhury, Faiaz Hossain, et al.
Izdano: (2021)

An efficient deep learning approach to detect skin Cancer
od: Islam, Ashfaqul, et al.
Izdano: (2022)

Online language teacher education for ongoing development : prospect in Bangladesh among the English teachers
od: Fabee, Nazida Akter
Izdano: (2016)

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

Back to English classrooms: Teachers’ and students’ perceptions on reopened schools
od: Promi, Israt Jahan
Izdano: (2023)

Assisting the visually impaired people using image processing
od: Rahman, Ferdousi, et al.
Izdano: (2018)

Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
od: Shuhin, Syed Adiba, et al.
Izdano: (2019)

The challenges facing for using ORACAL based attendance software
od: Tazin, Rubaba
Izdano: (2012)

Dynamic object recognition and command detection for assisting blind people using image processing techniques
od: Tahsin, Labeba, et al.
Izdano: (2020)

Real time action recognition from video footage
od: Apon, Tasnim Sakib, et al.
Izdano: (2021)

An efficient deep learning approach to detect skin cancer using image data
od: Chowdhury, Yaser Al Rahman, et al.
Izdano: (2023)

An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
od: Ali, Syed Muaz
Izdano: (2023)

Handbook of Digital Face Manipulation and Detection
Izdano: (2022)

Smoke detection using image processing
od: Sarker, Md. Kamrujjaman
Izdano: (2018)

Automated intruder detection from image sequences using minimum volume sets
od: Ahmed, Tarem, et al.
Izdano: (2016)

Face detection
od: Abdal, Sahar Noor, et al.
Izdano: (2010)

An efficient approach for recyclable waste detection and classification using image processing techniques
od: Chowdhury, Prabal Kumar, et al.
Izdano: (2024)

An efficient deep learning approach for detecting Alzheimer’s disease using brain images
od: Sani, Mehedi Hasan, et al.
Izdano: (2022)

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

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

Embedded real time blink detection system with heart rate sensing for driver fatigue monitoring
od: Habiba, Umme Saira, et al.
Izdano: (2018)