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.