Automatic face recognition using normalized cross correlation (NCC) function with variable template size

Face detection is one of the most difficult image processing issues. In many stage face recognition, important parts detection. recent years, there has been much progress in Many recognition system adopt or develop .We have proposed automatic algorithm an individual person through group by matching extracted from based on Normalized Cross Correlation (NCC) functions and skin variable size detected . By observing results, it clear that Cross-Correlation with best approach for matching. It gives perfect given target image. The maximum cross-correlation coefficient values indicate implemented MATLAB. experimental results show developed robust similarity measure if was not affected pose-variation.