AN EFFICIENT APPROACH FOR CLUSTERING FACE IMAGES

Atul Antil

Vol. 5, Jan-Dec 2019

Page Number: 016-024

Abstract:

Now a day there is a huge demand of face detection for security like banking, phone lock and other devices. Due to huge demand of machine learning technique to train and test data. with the rapid development of neural network like RNN, KNN, there is new technique i.e. CNN which is widely applied for face clustering. previously there are few clustering techniques which is widely used in industry like SOM, and self-organised feature mapping neural technique and are still developing. In our research we are applying CNN for feature extraction then S-SOM for clustering face image data. we are also analysing the effect of some related parameters in S-SOM on face clustering for further research.

Back Download