Investigation of E-voting system using face recognition using convolutional neural network (CNN)

【Author】 Revathy, G.; Raj, K. Bhavana; Kumar, Anil; Adibatti, Spurthi; Dahiya, Priyanka; Latha, T. M.

【Source】THEORETICAL COMPUTER SCIENCE

【影响因子】1.002

【Abstract】An Election is a method of selection of individuals to hold the public office in democracy. Ballot is basically a piece of paper that is used to cast vote during election. In ballot paper voting system each voter uses a ballot paper which is not shared and basically it is a paper printed with the name and symbols of the candidates. The Electronic Voting Machine is basically a memory recorder which records the vote casted by the voters. In this paper, main advantages of E-voting systems for country is highlighted. For constructing E-voting systems, every countries need to do great attention to Verification and Validation requirements. In this research, E-voting scheme with face recognition using deep learning technique is proposed. The process of casting vote is accomplished by blockchain technology and blind signature mechanism. The main objective of the proposed scheme is to explore the positive effects of security and safety in online voting system. (c) 2022 Elsevier B.V. All rights reserved.

【Keywords】E-voting; CNN; Blockchaintechnology; Securitymechanism; Deeplearning; Andballotpaper

【发表时间】2022 10-Aug

【收录时间】2022-08-15

【文献类型】观点阐述

【主题类别】

区块链应用-实体经济-政务领域