Deep Learning in Face Recognition for Attendance System: An Exploratory Study
Conventional-manual type of attendance systems can be very time-consuming to some extent, particularly for a significant number. The existence of face recognition technology can solve the inefficiency and ineffectiveness of conventional and manual attendance systems. Among many approaches to implem...
Main Authors: | Mochamad Azkal Azkiya Aziz, Shahrinaz Ismail, Noormadinah Allias |
---|---|
Format: | Article |
Language: | English |
Published: |
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis
2022-09-01
|
Series: | Journal of Computing Research and Innovation |
Subjects: | |
Online Access: | https://jcrinn.com/index.php/jcrinn/article/view/288 |
Similar Items
-
Deep Learning in Face Recognition for Attendance System: An Exploratory Study
by: Mochamad Azkal Azkiya Aziz, et al.
Published: (2022-09-01) -
Deep texture-depth-based attention for face recognition on IoT devices
by: Lin, Yuxin, et al.
Published: (2024) -
RGB-D FACE RECOGNITION USING LBP-DCT ALGORITHM
by: Sunil Kumar B L, et al.
Published: (2021-09-01) -
COMPARATIVE STUDY OF MACHINE LEARNING AND DEEP LEARNING ALGORITHM FOR FACE RECOGNITION
by: Nikita Singhal, et al.
Published: (2021-09-01) -
Multi-Object Face Recognition Using Local Binary Pattern Histogram and Haar Cascade Classifier on Low-Resolution Images
by: R. Rizal Isnanto, et al.
Published: (2021-01-01)