Abstract:
In this paper, we propose a face detection and recognition system based on computer vision of
improving security issues. Here, we propose our research by applying significant experiments to
test the performance of machine learning using of Haar-Cascade Classifier for detecting face
image. We analyze this classifier algorithm by divided into four steps. In this paper, we have to
make extraction of Haar-feature selection, creating integral image, Adaboost training,
Cascading Classifiers for complete the detection step. We have used Local Binary Patterns
Histograms (LBPH) algorithm to complete facial recognition system. We propose several
parameters in LBPH and we obtain a training dataset by applying training algorithm. We
complete computational part by applying LBPH operation and extracting the histograms. We
use different kinds of law to find the difference between two histogram like as Euclidian
distance, chi-square etc.