Design of Protection in Iris Biometric Recognition Using Watermarking Technology

Abstract

This paper obtainable an evaluation of the association between left and right ear using four selected feature extraction algorithms: Principal Component Analysis (PCA), Speeded Up Robust Features (SURF), Geometric feature extraction and Gabor wavelet based feature extraction techniques in terms of performance issues given by of False Acceptance Rate (FAR), False Rejection Rate (FRR), and Genuine Acceptance Rate (GAR).The approach was evaluated on non-public ear dataset and simulated in MATLAB Environment. For these selected feature extraction algorithms, the right ears of the subjects are used as the gallery, and the left ear as the probe. The investigational results recommend the existence of some degree of symmetry in the human ears but the ear are not exactly identical as the recognition accuracy of the system deteriorated for three (PCA, SURF, and Gabor wavelet) of the feature extraction algorithms.