Personal authentication using palm print features

摘要

Biometrics-based authentication is a verification approach using the biological features inherent to each individual. They are processed based on the identical, portable, and arduous duplicate characteristics. In this paper, we propose a scanner-based personal authentication system by using the palmprint features. The authentication system consists of enrollment and verification stages. In the enrollment stage, the training samples are collected and processed to generate the matching templates. In the verification stage, a query sample is matched with the reference templates to decide whether it is a genuine sample or not. The region of interest (ROI) for each sample is first generated to obtain the palmprint features by using Sobel and morphological operations. We use the template matching and the backpropagation neural network to measure the similarity in the verification stage. Experimental results verify the validity of our proposed approaches in personal authentication.