Person Identification Using Face, Ear and Foot Modalities
Snehlata Barde, A. S. Zadgaonkar · SSRN Electronic Journal · 2015
Person identification is a fundamental task in government and private organizations. The government of India has introduced AADHAR card for person identification based on biometrics. Biometrics can be used to ensure that a person accessing information is authorized. Multimodal biometric means combination of two or more biometrics which helps to remove the deficiencies of a single biometric trait or an achievement of multimodal biometrics. Person identification means combination of different biometric modalities like face, ear, iris, finger prints, palm prints and foot. This study uses face, ear and foot biometric modalities for calculating FAR, FRR and Weight score using different classifiers. For face, PCA-based neural network classifier is used; for ear, Eigen images are used; and for foot, modified sequential harr transform is used, and the results have been presented. Then, we fuse the data for face, ear and foot to arrive at better result as compared to single biometrics result.