Gender classification performance optimization based on facial images using LBG-VQ and MB-LBP

Gender classification performance optimization based on facial images using LBG-VQ and MB-LBP

In the computer vision and machine learning field, especially for gender classification based on facial images, feature extraction is one of the inseparable parts. Various features can be extracted from images, including texture features. Several prior studies show that the Linde Buzo gray vector qu...

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Bibliographic Details
Main Authors: Faruq Abdul Hakim, Tio Dharmawan, Muhamad Arief Hidayat
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2025-02-01
Series:IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:
computer vision
feature extraction
machine learning
gender classification
linde buzo gray vector quantization
multi block local binary pattern
Online Access:https://ijain.org/index.php/IJAIN/article/view/1827

Internet

https://ijain.org/index.php/IJAIN/article/view/1827

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