EN 
IN
Journal article
Face Identification Based on K-Nearest Neighbor
NI KADEK AYU WIRDIANI Praba Hridayami Ni Putu Ayu Widiari Komang Diva Rismawan Putu Bagus Candradinatha I Putu Deva Jayantha
Volume : 6 Nomor : 2 Published : 2019, November
Scientific Journal Of Informatics
Abstrak
At this moment, face identification has been widely applied for security on gadgets, smart home security, and others. Face dominates as a biometric which is most increase in the next few years. Face is used for biometric identification which is considered successful among several other types of biometrics and accurate results. Face recognition utilizes facial features for security purposes. The classification method in this paper is K-nearest Neighbor (KNN). The K-Nearest Neighbor algorithm uses neighborhood classification as the predictive value of a good instance value. K-NN includes an instance-based learning group. This paper developed face identification using Principal Component Analysis (PCA). he preprocesing method that used in this reseach is contrast stretching, grayscale and haar cascade segmentation. This research is registered 30 people, each person had 3 images used for training and 2 images used for testing. The result obtained from several test of k value gives the best accuracy is 81% with k=1.