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All Journal International Journal of Informatics, Information System and Computer Engineering (INJIISCOM)
Tri Rahajoeningroem
Department of Electrical Engineering, Universitas Komputer Indonesia, Indonesia
Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Implementation of Local Binary Pattern Histogram for Automatic Locker System Tri Rahajoeningroem; Jana Utama; Bobi Kurniawan; Rodi Hartono; Afra Haniv Imtyramdhan; Suci Aulia
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 7 No. 1 (2026): INJIISCOM: VOLUME 7, ISSUE 1, JUNE 2026 (ONLINE FIRST)
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v7i1.16958

Abstract

This research presents the design and evaluation of an automatic locker system employing Local Binary Pattern Histogram (LBPH)-based facial recognition for secure, keyless access. The system integrates a webcam, Arduino Uno, relay module, and solenoid door lock, managed via a laptop interface. Performance was assessed through single-user variability testing under different facial accessories (66.7% recognition rate) and multi-user discrimination testing (50% accuracy across diverse profiles). Results indicate LBPH’s robustness against moderate occlusions but a notable decline with heavy facial coverage like helmets and masks. These findings emphasize the critical role of facial visibility in biometric reliability, offering practical insights for real-world security applications. 
Co-Authors Afra Haniv Imtyramdhan Bobi Kurniawan Jana Utama Rodi Hartono Suci Aulia