This repository contains the source code of the experiments done in the paper entitled "Face Recognition Using Local Binary Pattern and Nearest Neighbour Classification" . This work will be presented at the 2018 International Symposium on Advanced Intelligent Informatics (SAIN 2018) on August 29-30, 2018 in Yogyakarta, Indonesia.
- db folder Contains three datasets used in this experiment, i.e. JAFFE, AT&T, and Yale
- localbinarypatterns.py The implementation of LBP using scikit-learn module
- knn.py The implementaion of the system using k-NN (k Nearest Neighbour)
- rnn.py The implementation of the system using RNN (Radius Nearest Neighbour)
- akurasi.py Analyse the system accuracy (recognition rate) in terms of their parameters (number of neighbour points P, the radius P, and the chosen k value of the k-NN)
- plotting.py Plot the histogram of the feature vector from the LBP output
- results folder Contains experiments results for both k-NN and RNN, saved in csv files