Age and Facial Recognition using Anisotropic Filtering with RLBP and Support Vector Machine

Abstract

The latest research technology in image processing forms the principles of Age and Face Recognition using Anisotropic filtering , Local Binary Pattern (LBP), and Support Vector Machine (SVM) has been developed to overcome the issues in recognizing the exact person using techniques. In this work proposed an approach for Face recognition and age estimation. In preprocessing stage  train  & test image dataset is filtered using anisotrpophic method. Extraction of face feature is processed by DWT and LBP method. Experiments results are performed on AT &T and FGnet dataset. The performance of accuracy parameters such as  true positive and true negative are measured.