Survey of Image Based Operative Face Recognition Algorithms

Abstract

Face recognition has become one of the important factors in recent years for security by fraud detection of passports and visas, ATM'S and banks,identification of criminals,prevent fraud votersetc. Face Recognition is a unique technique through which a person is recognised by his facial image. With the help of this techniques, this study can possibly differentiate human faces, identify human face, make modifications for the facial image and it will be helpful for the person to authenticate himself into any secure system.In recent years, there has been some improvement in the performance of computer-based image recognition algorithms. Over the last decade, many face recognition algorithms and techniques are evolved, this face recognition algorithms include Linear Discriminant Analysis (LDA), Principle Component Analysis (PCA), Independent Component Analysis (ICA) and support vector machine (SVM); these Image-based face recognition algorithms are classified into two types Video-based face recognition algorithms and Image-based face recognition algorithms. This study will classify and compare the Image-based face recognition algorithms according to their use and accuracy and we can choose one of the best algorithm among them for face recognisation.