Human vs machine learning in face recognition: a case study from the travel industry
This research was conducted to help answer whether a machine learning simulation can replace the human ability to recognize human faces, especially under challenges under travel industry requirements. The human ability to recognize faces was evaluated using a series of questions in a survey. The que...
Saved in:
Main Authors: | Regina Lionnie, Vidya Hermanto |
---|---|
Format: | Article |
Language: | English |
Published: |
Universitas Mercu Buana
2025-01-01
|
Series: | Jurnal Ilmiah SINERGI |
Subjects: | |
Online Access: | https://publikasi.mercubuana.ac.id/index.php/sinergi/article/view/27610 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Employee attendance system using face recognition and GPS using local binary pattern histogram
by: Narahari Vigraha Prasada, et al.
Published: (2024-12-01) -
Accelerating Deep Learning-Based Morphological Biometric Recognition with Field-Programmable Gate Arrays
by: Nourhan Zayed, et al.
Published: (2025-01-01) -
Masked and unmasked Face Recognition Model Using Deep Learning Techniques. A case of Black Race.
by: Mabiriz,I, Vicent, et al.
Published: (2024) -
LittleFaceNet: A Small-Sized Face Recognition Method Based on RetinaFace and AdaFace
by: Zhengwei Ren, et al.
Published: (2025-01-01) -
Abnormal event detection based on local topology and l<sub>1/2</sub>norm regularize
by: Qing YU, et al.
Published: (2018-10-01)