Piyush Ingale, Divyashri Desale, and , Rajni Kanse
Abstract
Face recognition has recently received significant
attention as one of most successful applications of image
analysis and understanding. There are many reasons for
growing interest in face recognition has a rising concern for
public security, identity verification. There is a need for face
analysis and modelling techniques in the data management and
digital entertainment. In the face recognition we are facing
challenges like pose variation, variation in illumination,
occlusion problem in the face. To deal with all these problems we
present face recognition based on VGG16 deep learning model.
For the experimentation we have use real time database of
images. The performance of proposed method is evaluated on the
basis of cross validation accuracy and it has shown better
performance compared to previous one