Biometric Properties for Identification in a Secure E-voting Application

Abstract

Most of the E-voting architectures used currently to identify and verify a voter use single biometric source. Single biometric source have many problems which include noisy data, intra class disparity, inter class resemblances, universality, spoofing and insecure. On the other hand, multi-biometric sources use multiple source of information for individual authentication. The purpose of this paper was to investigate biometric properties for identification in secure e-voting applicationsfor identification that can be used to enhance security. This study was undertaken using mixed method design which included survey design and content analysis. Purposive sampling technique was used to sample the respondents. The study found that biometric properties for identification in a secure e-voting application vary in their application. The finding of this study is significant to Independent Electoral and Boundaries Commission (IEBC) and to the government in enhancing use of E-voting to improve transparency.