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.
Päätekijä: | Anik, Md. Kamrul Islam |
---|---|
Aineistotyyppi: | Opinnäyte |
Kieli: | English |
Julkaistu: |
BRAC University
2016
|
Aiheet: | |
Linkit: | http://hdl.handle.net/10361/4663 |
Samankaltaisia teoksia
-
An efficient deep learning approach for 3D face detection using multiple angular 2D images
Tekijä: Rafsan, Nayeem, et al.
Julkaistu: (2023) -
Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet
Tekijä: Al-imran, et al.
Julkaistu: (2019) -
Smart security system based on frontal face detection method and android mobile
Tekijä: Khan, Mahjabeen
Julkaistu: (2017) -
A hybrid fake banknote detection model using OCR, face recognition and hough features
Tekijä: Zarin, Adiba, et al.
Julkaistu: (2018) -
Face recognition based home security system
Tekijä: Sakib, Sadman, et al.
Julkaistu: (2021)