Analysis of Facial Recognition System Using LBPH Algorithm

Reza, Haidar and , Dedi Ary Prasetya,S.T.,M.Eng (2022) Analysis of Facial Recognition System Using LBPH Algorithm. Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Biometric authentication is a way to identify and verify individuals by analyzing biological characteristics that are unique. One of the biometric authentications that are often used is facial recognition. Facial recognition is a technology used for matching a human face from an image or video. For making a facial recognition there are four steps: they are face detection, face alignment, feature extraction, and face recognition. Several factors also must be considered when making facial recognition factors like environmental factors, quality of image, shifting, and scaling of images can affect the facial recognition accuracy greatly. In this study writer designed a facial recognition system using LBPH (Local Binary Pattern Histogram) algorithm in the Raspberry Pi 3 Model B+ with Cortex-A53 (ARMv8) 64-bit SoC @ 1.4GHz as processor and 1GB ram. This system was designed by connecting 5mp Picamera into CSI camera port in Raspberry Pi. To make this facial recognition system several algorithms were used such as haar cascade classifier and LBPH algorithm with the help of OpenCV library. In this facial recognition system, several test were conducted to know the accuracy of the system in various conditions such as distance, lighting, and face position. This study resulted that LBPH algorithm with 5mp camera can detect a face at a maximum of 100cm from the camera and able to detect a face when the lighting is enough.

Item Type: Thesis (Skripsi)
Uncontrolled Keywords: Raspberry Pi, LBPH, Haar Cascade, OpenCV, Python.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Fakultas Teknik > Teknik Elektro
Depositing User: M. HAIDAR REZA
Date Deposited: 28 Oct 2022 07:46
Last Modified: 28 Oct 2022 07:46

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