Face recognition using eigenface with naive Bayes
Ega Bima Putranto, Poldo Andreas Situmorang, Abba Suganda Girsang · 2016
One of the lack of eigenface for prediction the face recogniton is not good accuracy. This paper uses naive Bayes for classifying the result of eigenface feature extraction to predict the face. The normalization z-score is added for sharping the accuracy. To see the performance of proposed method, the 200 datasets are divided into data training and testing by using cross validation (k=10). The results show that the proposed method can predict the face image up to 70%. Moreover by adding normalization Z-Score, the accuration of prediction raise up to 89.5% (in average).