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All Journal Jurtik STMIK Bandung JURTIK
Anwar Nasihin
STMIK Bandung
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Library & Information Science

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PERANCANGAN DETEKSI PENGENALAN WAJAH MENGGUNAKAN METODE LOCAL BIANARY PATTERN (LBP) Mina Ismu Rahayu; Anwar Nasihin
JURTIK:Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 9 No 1 (2020): JURTIK : Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (857.389 KB) | DOI: 10.58761/jurtikstmikbandung.v9i1.145

Abstract

Face recognition on an Android smartphone is a personal identification system that uses the physical characteristics of a person to automatically detect their identity through faces. In this face recognition detection technology will identify human faces through a digital image by matching or comparing with faces that have previously been stored and trained in data storage. The main problem faced in designing face recognition detection is how android devices can detect and recognize face objects.The proposed design method for Android-based face recognition detection is the local binary pattern (LBP) method, which in principle uses this method to get the characteristics of each face image by representing a gray image into binary numbers. The method developed is by modifying the heuristic function of the Ant-Miner algorithm.From the test results obtained that the performance of facial recognition detection using the LBP method on a person's face image has a good level of accuracy with an average of 96.7%, with 5 trials and 30 trials.In addition, this face recognition detection can also be used as a test framework for Android-based face recognition detection. Keywords: detection, face recognition, local binary pattern, android
PERANCANGAN DETEKSI PENGENALAN WAJAH MENGGUNAKAN METODE LOCAL BINARY PATTERN (LBP) Mina Ismu Rahayu; Anwar Nasihin
Jurnal Teknologi Informasi dan Komunikasi Vol. 9 No. 1 (2020): JURTIK : Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v9i1.145

Abstract

Face recognition on an Android smartphone is a personal identification system that uses the physical characteristics of a person to automatically detect their identity through faces. In this face recognition detection technology will identify human faces through a digital image by matching or comparing with faces that have previously been stored and trained in data storage. The main problem faced in designing face recognition detection is how android devices can detect and recognize face objects. The proposed design method for Android-based face recognition detection is the local binary pattern (LBP) method, which in principle uses this method to get the characteristics of each face image by representing a gray image into binary numbers. The method developed is by modifying the heuristic function of the Ant-Miner algorithm. From the test results obtained that the performance of facial recognition detection using the LBP method on a person's face image has a good level of accuracy with an average of 96.7%, with 5 trials and 30 trials. In addition, this face recognition detection can also be used as a test framework for Android-based face recognition detection.
Co-Authors Rahayu, Mina Ismu