Face Recognition Using HOG Feature Extraction and SVM Classifier

The intelligent interaction between the human and the computer is of vital importance to reach the primary and contemporary goals of artificial intelligence.Digital imaging in life and in common society and in science and technology has become completely digital and this transformation of visual imagination into mathematical algorithms and numerical developments is significant for researchers to use it in everyday digitized world we live today.Numerous algorithms are developed on face recognition techniques particularly in the last two to three decades.The LBP and HOG feature extraction algorithms are preferable for real time applications.HOG feature extraction technique has been used in this paper for person detection using image analysis.The PCA an important feature method in Eigen faces method is today an important brainwave for almost all the face recognition algorithms unfolded into new and better programming methods.