Implementasi pengenalan wajah pada sistem keamanan rumah dengan menggunakan metode Local Binary Pattern Histograms (LBPH) berbasis sistem Mikroprosesor Raspberry Pi

Zakaria, Kiki (2017) Implementasi pengenalan wajah pada sistem keamanan rumah dengan menggunakan metode Local Binary Pattern Histograms (LBPH) berbasis sistem Mikroprosesor Raspberry Pi. Sarjana thesis, UIN Sunan Gunung Djati Bandung.

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Abstract

This research discusses about face recoqition system which implemented on home security system using laspberry I'i as data processor and wcbcam as its sensor. This research use s Local Binary Pattern Histograms (LBPH) method as crtraction me­ thod. An important process that is taken by Local Binary Pattern Histoqrams as an crtraction method. First camera initialization. Both pre-processing images are done to eliminate noise in the data, clarify the feature image. reduce the size of the data and convert the original data in order to obtain the data in accordance with the needs. (roping, resizing, and image conve rsion [GB to grayscale is a pre-processing image. From two re search erperiments conducted between simulation and erperiment using Raspberry i, obtained the percentage of facial recognition accuracy from simulation of 83.35% and crpcriments of 72.25% using 10 databases. While at 15 and 20 databa­ ses used obtained face recoqition accuracy rate of 100%, and 88.9% for 15 databases on raspberry pi. This indicates that the number of databases used qreatly affects the level of facial recognition accuracy. The more databases are used, the greater the level offacial recoquition accuracy, and the easier it will be for the system to identify faces.

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