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p-Index From 2021 - 2026
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All Journal Journal of Computer Science and Informatics Engineering
Wira Pranata Sebayang
STMIK Methodist Binjai
Computer Science & IT

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Local Binary Pattern for Facial Gender Identification Using a Kivy-Based Application Wira Pranata Sebayang; Tomy Satria Alasi; Irwan Jani Tarigan
Journal of Computer Science and Informatics Engineering Vol 5 No 4 (2026)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v5i4.1858

Abstract

Automatic gender identification based on facial images still faces challenges due to spatial variations and the complexity of visual features, while deep learning approaches such as Convolutional Neural Networks require high computational resources that are unsuitable for resource-constrained devices. This study aims to design, implement, and evaluate the performance boundaries of the Local Binary Pattern method for facial image-based gender identification integrated into a Python application using the Kivy framework. The research methodology utilized facial images from the UTKFace dataset, undergoing preprocessing through grayscale conversion, micro-texture feature extraction via the Local Binary Pattern operator, and gender classification using a threshold-based decision rule, all of which were fully integrated into the Kivy user interface. The system was evaluated across three scenarios with varying numbers of test images (80, 160, and 320 images). Testing results revealed a peak accuracy of only 43%, with variations in lighting, facial pose, and expression identified as the primary factors limiting overall accuracy. It can be concluded that while the Local Binary Pattern method was successfully integrated technically within the Kivy framework, its simplified mean-value feature representation remains insufficient for reliable gender identification under uncontrolled visual conditions, highlighting the need for richer feature representations in future research.
Co-Authors Alasi, Tomy Satria Irwan Jani Tarigan