This paper is about the biometric attendance management. The automatic attendance management will replace the manual method, which takes a lot of time consuming and difficult to maintain. There are many biometric processes, in that face recognition is the best method. In this paper we are going to describe the attendance without human interference. In this method the camera is fixed in the classroom and it will capture the image, the faces are detected and then it is recognized with the database and finally the attendance is marked. There are various methods for comparing the faces. We are using NN methods for finding similar patches in images, we can exploit various properties of images to develop very efficient implementations of Ball Tree algorithm. © 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved.