High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

To Improve Performance Of Robust Face Recognition Using Dominant Facial Region Extraction And Fractal Model

Author(s):

Alok Bansal , Rajasthan institute of engineering and technology,jaipur; Anuradha sharma, Rajasthan institute of engineering and technology,jaipur; Vijay kumar sharma, Rajasthan institute of engineering and technology,jaipur

Keywords:

Fractal Model, Robust Face Recognition

Abstract

In this paper discuss about the research of Human Face Detection focuses on the faces under complex background. One aspect of this system is to cutting down false detection and speedup the processing delay. In this paper discuss about proposed technique we try to apply the Subspace Approach to Face Detection using dominant facial region extraction and fractal model. To further improve the performance of the face recognition system also proposes the techniques of statistical based feature matching. In this paper discuss about illustrating the development of "Real-Time Human Face Recognition System". The principal system consists of three major subsystems. There are Image Acquisition System, human face characteristic extraction and finally feature vector matching. For experiment, we adopted colored face image with complex background and simulate on the computer

Other Details

Paper ID: IJSRDV3I70428
Published in: Volume : 3, Issue : 7
Publication Date: 01/10/2015
Page(s): 814-816

Article Preview

Download Article