A novel 2D face, ear recognition system using max–min comparison technique for human identification

Abstract

Biometrics plays a major role in image identification field in the security environment, mainly in image recognition and detection. The pose variation in image leads to mismatch with its original image and it is one of the major frequently occurring problems. This proposed work explains new efficient techniques to recognize people with the help of their biometric features like Face and Ear. The main objective of this work is to recognize a person’s face, ear image correctly, with respect to his/her pose varied images. Novel techniques named as, Max–Min Comparison, Red matrix Eigen vector recognition, are proposed for recognition processes. These techniques are tested on standard database images and its results are analyzed using mismatching and runtime parameters, and its accuracy yields high recognition rate of 99%.