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

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

doi:10.1117/12.2587028

12 March 2021 Face detection and recognition in real-time photos with haar cascade and local binary pattern histogram for automatic door locking system

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

Author Affiliations +

Proceedings Volume 11789, Fourth International Seminar on Photonics, Optics, and Its Applications (ISPhOA 2020); 1178908 (2021) https://doi.org/10.1117/12.2587028
Event: Fourth International Seminar on Photonics, Optics, and Its Applications (ISPhOA 2020), 2020, Sanur, Indonesia

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.

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Ian Haikal Amir A., Raihan Nugroho P., Wiwit Ria Rahayu, Dea Faiza Febrianty, Nailil Farihah, Winda Nur Azizah, Iwan Cony Setiadi, and Yonatan Davidson Gultom "Face detection and recognition in real-time photos with haar cascade and local binary pattern histogram for automatic door locking system", Proc. SPIE 11789, Fourth International Seminar on Photonics, Optics, and Its Applications (ISPhOA 2020), 1178908 (12 March 2021); https://doi.org/10.1117/12.2587028

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