The Memory Efficiency in a Receptionist Robot's Face Recognition System Using LBPH Algorithm
This research aims to develop a memory-efficient face recognition system for a receptionist robot using the Local Binary Patterns Histogram (LBPH) algorithm. Given the computational limitations of the Raspberry Pi, the system utilizes optimization techniques including grayscale conversion, noise red...
Saved in:
Main Authors: | Endang Darmawan Yudi, Yesi Novaria Kunang, Ahmad Zarkasi |
---|---|
Format: | Article |
Language: | English |
Published: |
Ikatan Ahli Informatika Indonesia
2024-12-01
|
Series: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
Subjects: | |
Online Access: | https://jurnal.iaii.or.id/index.php/RESTI/article/view/6048 |
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) -
Historical Blurry Video-Based Face Recognition
by: Lujun Zhai, et al.
Published: (2024-09-01) -
Face Recognition using Deep Learning and TensorFlow framework
by: Makrem Beldi
Published: (2023-12-01) -
Masked and unmasked Face Recognition Model Using Deep Learning Techniques. A case of Black Race.
by: Mabiriz,I, Vicent, et al.
Published: (2024) -
Automatic Player Face Detection and Recognition for Players in Cricket Games
by: Mahmood Ul Haq, et al.
Published: (2024-01-01)