A ROBUST FACE RECOGNITION APPROACH THROUGH DIFFERENT LOCAL FEATURES
Authors/Creators
- 1. *1PG Student, ECE Department, Indira Institute of Technology & Sciences, Markapur, A.P, India,
- 2. 2Assistant Professor, ECE Department Indira Institute of Technology & Sciences, Markapur, A.P, India
Description
In this paper, we proposed method is a robust face recognition approach through different local features has been implemented. We used YALE face database in this paper. First the images are partitioned into different sub bands using discrete wavelet transform. Kernel methods are widely used for to extract the features from the different sub bands for non linear methods. sub band methods are used for extract the local features from the all sub bands. Then the all local features are formed as global features to improve the recognition efficiency. As compared to linear methods most of the researchers use non linear methods for real time applications. In this paper we proposed face recognition approach through different local features gives better results as compared to existing techniques