Face recognition plays a vital role in security purpose. In recent years, the researchers have focused on the pose illumination, face recognition, etc,. The traditional methods of face recognition focus on Open CV’s fisher faces which results in analyzing the face expressions and attributes. Deep learning method used in this proposed system is Convolutional Neural Network (CNN). Proposed work includes the following modules: [1] Face Detection [2] Gender Recognition [3] Age Prediction. Thus the results obtained from this work prove that real time age and gender detection using CNN provides better accuracy results compared to other existing approaches.
LGG-04. UNIFORM VOLUMETRIC MEASURES OF CROSS-PLATFORM MRI ACQUISITIONS IN NF1 OPTIC PATHWAY GLIOMAS: APPLICATION OF DEEP LEARNING TECHNIQUES TO MULTI-CENTER CLINICAL TRIALS
