Facial Recognition by using Local Binary Patterns Histograms (LBPH) using OpenCV in Java SE for a System of Assistance Control

The Artificial vision has become very important in the automation world due to its increasing reliability, capacity and rapid return on investment. The purpose of this research is to implement the algorithms necessary to identify a person through his face described through an image captured in real time, using a camcorder, classifying the facial images according to the person who belongs to you. These algorithms have been implemented in a System of Assistance Control (SCA) through facial recognition in the area of administrative services of the municipal government. It has been used the algorithm of Viola Jones [1] to obtain the region of interest: ROI and the local algorithm binary patterns (LBP) to extract the characteristics and the histograms of local binary patterns (LBPH). They are algorithms used for facial recognition, which are based on the local binary operator. The SCA is developed with the facial recognition algorithms ofthe OpenCV library, Offer the user a system trained in a learning machine with the knowledge base obtained from the photos taken of each of the employees in the area.