Attendance Monitoring based on Facial Recognition using LBPH algorithm

Face is the one of most important part in the humans body. We can define a particular person whether they
are man or women and boy or girl by seeing their faces only. Well, in past days there is a method to take the students
attendance by calling them one by one and note down the presents in a register. It is somewhat difficult and time
consuming process. So, to avoid these difficulties we are introducing a new method called attendance monitoring based on
facial recognition using LBPH algorithm. In, these method firstly, we have to capture the we can detect the face images and
then we have to train that images. Later, by using local binary pattern histogram method we can detect the faces and can
mark known and unknown.Next, applying grayscale for the RGB images to convert all the images into a binary format
which can be denoted by 0’s and 1‘s. Taking the attendance of each student by capturing the images and save their data with
their Names, ID’S, Mail, etc., After finishing the previous step we have to save all the students data in a separate sheet for
future use. Finally, we can say that this propose will gives a high security and quick access. Local binary pattern is one of
the easiest method to detect the faces which gives a approximately 92% accuracy and also even works in low level images.