Nugraha, Silvana Dika (2023) IMPLEMENTASI PENGENALAN WAJAH PENGENDARA MOTOR PADA AKSES KELUAR IIB DARMAJAYA MENGGUNAKAN METODE LOCAL BINARY PATTERN HISTOGRAM. Skripsi thesis, Institut Informatika dan Bisnis Darmajaya.
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Abstract
Today, the field of science and technology is experiencing rapid development, with one of the areas of focus being technologies that enable the identification of an individual's biological traits. One of the most difficult biometric features to mimic is the human face, which possesses unique characteristics that can be utilized to identify individuals based on specific parameters. Face recognition is a type of computer technology that is capable of detecting the location and size of a face, identifying facial features, and disregarding background images in order to perform facial identification. This research proposes a security system design for campus vehicle access using real-time face recognition based on OpenCV with Local Binary Pattern Histogram algorithm and Haar Cascade Classifier method. The system detects, recognizes, and compares captured facial images with the stored face database. The facial images used are 480 x 680 pixels in size, with .jpg extension in RGB format, which are converted into Grayscale images to simplify histogram value calculations. After conducting 120 facial data tests, the results showed that 100 individuals were successfully recognized, while 20 individuals were misidentified, resulting in an accuracy rate of 83%. Further tests were conducted to recognize more than one face and to identify faces in dark places. The results indicated that the system was able to correctly recognize multiple faces, while in dark places, the system failed or misidentified faces in the existing database.
Item Type: | Thesis (Skripsi) |
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Subjects: | Ilmu Komputer eSkripsi |
Divisions: | Skripsi/TA & PKPM/KP - Fakultas Ilmu Komputer > Teknik Informatika |
Depositing User: | Silvana Dika Nugraha |
Date Deposited: | 01 Sep 2023 06:27 |
Last Modified: | 01 Sep 2023 06:27 |
URI: | http://repo.darmajaya.ac.id/id/eprint/12592 |
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