Face recognition system using improved artificial bee colony algorithm

In this paper, Face recognition system using improved artificial bee colony algorithm is proposed. This system works on two different phases, named as Extraction phase and Recognition phase. In the extraction phase, sub-window extraction algorithm is applied on different face images collected from different sources. Then applied artificial bee colony algorithm to reduce number of sub windows, taken from sub window extraction algorithm. This proposed work helps to improve the overhead problem of PCA algorithm. Experiments are carried out on different datasets, collected from FACE_94, and VITM datasets. Experimental results show that proposed work efficiency, in terms of recognition rate, is better than original PCA algorithm by reducing number of subwindows.