Main Article Content
Abstract
The face acknowledgment is the framework which is the utilization of the AI. The face acknowledgment framework is the framework which is utilized for the participation framework. The test and preparing set is set up in which division is done, highlight extraction can be applied and dataset is planned. The test set is the picture which needs to perceive by contrasting and the preparation set. The KNN classifier is applied which can order test picture into perceived or non-perceived. The straight KNN classifier has least exactness since it groups information into two classes. In this research, for the analysis of the textual features they applied the GLCM algorithm used for the face detection. When the face detected then the attendance is marked of the query image. As per simulation result sit is shown that proposed strategy has better exactness when contrasted with existing system.