Face detection and recognition in real-time photos with haar cascade and local binary pattern histogram for automatic door locking system

A. Ian Haikal Amir, P. Raihan Nugroho, Wiwit Ria Rahayu, Dea Faiza Febrianty, Nailil Farihah, Winda Nur Azizah, Iwan Cony Setiadi, Yonatan Davidson Gultom

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Home door security systems using facial recognition based on image processing have been widely developed. Face detection in this system uses the Haar-Cascade Method. The system was tested using 4 types of tests, namely the accuracy test, the distance test, the facial expression test, and the lighting conditions test. The results show that this door design system has a total average accuracy level of 97.2%, with an optimal distance of 1.5 meters, and the condition of the lights must be on. Meanwhile, for the facial expression variation test, the system can distinguish well except when the face is tilted left or right.

Original languageEnglish
Title of host publicationFourth International Seminar on Photonics, Optics, and Its Applications, ISPhOA 2020
EditorsAgus Muhammad Hatta, Aulia Nasution, Ruri Agung Wahyuono
PublisherSPIE
ISBN (Electronic)9781510644120
DOIs
Publication statusPublished - 2021
Event4th International Seminar on Photonics, Optics, and Its Applications, ISPhOA 2020 - Virtual, Online, Indonesia
Duration: 1 Dec 20202 Dec 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11789
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference4th International Seminar on Photonics, Optics, and Its Applications, ISPhOA 2020
Country/TerritoryIndonesia
CityVirtual, Online
Period1/12/202/12/20

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