Abstract
The human face can be used to assess because of its uniqueness based on certain parameters. To perform facial recognition, the first thing that needs to be done is face detection. The author uses the Viola-Jones method to detect faces. The Viola-Jones method is known to have high speed and accuracy because it combines several concepts (Haar Features, Integral Image, AdaBoost, and Cascade Classifier) into the main method for handling objects. The principle of camera face recognition itself is that the captured face object will be processed and compared with all face images in the existing data set so that the identity of the face is known. One of the applications of face recognition is to do attendance with individual faces. The attendance process does not need physical contact interactions between humans and devices such as the fingerprint system so that during the current COVID-19 pandemic, the spread of the virus can reduce. In this research, a system that can be checked and a person's face is used as a leverage medium for arrival and return attendance using the Viola-Jones method and the LBPH algorithm. The language used is python with the OpenCV library. The PHP language is used for the user interface so that users perform attendance via a browser with the MySQL database to store attendance data. The result of the research is that using the Viola-Jones method and the LBPH algorithm faces are identified and the data is stored in the database used for data attendance. Distance and slope affect the results of face recognition. The distance is too close about 30 cm from the camera, the face cannot be detected. Instead of face position is too far approximately 200 cm, the face can still be detected but could not be identified. For a face tilt level of about 20o from perpendicular, it can still be recognized, but at a tilt degree of about 30o up or to the right, faces cannot be detected.
Highlights
Wajah manusia dapat digunakan untuk melakukan identifikasi karena keunikan yang dimiliki berdasarkan parameter – parameter tertentu
because of its uniqueness based on certain parameters
The principle of camera face recognition itself is that the captured face object will be processed
Summary
Abstrak−Wajah manusia dapat digunakan untuk melakukan identifikasi karena keunikan yang dimiliki berdasarkan parameter – parameter tertentu. Penulis menggunakan metode Viola Jones untuk melakukan pendeteksian wajah. Pada penelitian ini dibuat suatu sistem yang bisa mendeteksi, melacak serta mengenali wajah seseorang yang digunakan sebagai media verifikasi untuk absensi jam kedatangan dan kepulangan (time attendance) menggunakan metode Viola Jones dan algoritma Local Binary Pattern Histogtram (LBPH). Hasil dari penelitian bahwa dengan menggunakan metode Viola Jones dan algoritma LBPH wajah berhasil diidentifikasi dan data tersimpan ke database yang digunakan untuk data absensi. Untuk tingkat kemiringan wajah sekitar 20o dari tegak lurus masih bisa dikenali, akan tetapi pada derajat kemiringan sekitar kurang lebih 30o posisi keatas maupun kekanan, wajah tidak bisa dideteksi. Kata Kunci: Pengenalan Wajah, COVID-19; Absensi, Metode Viola Jones; Algoritma LBPH. The result of the research is that using the Viola-Jones method and the LBPH algorithm faces are identified and the data is stored in the database used for data attendance.
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