Face Recognition using Support Vector Machine
Kumari Jyotsna, Nidhi Chaubey, Kumari Durga, Udayan Baruah · 2014
Abstract- This paper describes an experiment on face recognition using a simple feature vector and Support Vector Machine (SVM) classifier. Polynomial and Radial Basis Function (RBF) kernels of SVM are used for classification. The dataset in this experiment consists of a set of images of eight different faces (eight classes) containing ten different images for a single class. The experiment is performed with different settings of SVM kernel parameters. The experimental results show that RBF kernel gives better recognition result.