Comparing Face Recognition Technologies
Sachin D. Ruikar, HulleRohit Rajiv · 2014
An automated system for human face recognition in a real time background world for a large homemade dataset of persons face. There is overview and different steps of face recognition. Because the face system is totally non-intrusive, thus without bothering the user in any way it can therefore make an existing security system more effective. To detect real time human face AdaBoost is used and a 2DFLD is used to recognize the faces detected. The 2DFLD is used to select an optimal subset of features that gives a better accuracy results in solving the face recognition problem. This approach is compared with the AdaBoost plus standard PCA.