Smart Voting System
Objective
The objective of smart voting systems is to do a two-step authentication for voters to vote using face and fingerprint matching.
Abstract
In this paper, the proposed algorithm presents the smart voting system in order to improve the voting performance during elections. The smart voting system is nothing but the voting in online by using fingerprint and facial recognition of the voter. In most of the countries follows this online voting system. In our country, the voting procedure is done by electronic voting machine. Due to misuse of voting machine at polling centers and voters going into their particular booths and waiting in lengthy line most the people miss the chance of casting their votes. For that reason, a novel method is developed for voting by using two-step authentication for voters to vote using face and fingerprint matching. Face recognition is done in our MATLAB by using CNN classification. The protection level of our scheme is really enhanced by the novel application technique for every voter.
Keywords: face and fingerprint identification, voting, Aadhaar card, finger prints, voter id.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Hardware & Software Requirements:
Software: Matlab R2018a.
Hardware:
Operating Systems:
- Windows 10
- Windows 7 Service Pack 1
- Windows Server 2019
- Windows Server 2016
Processors:
Minimum: Any Intel or AMD x86-64 processor
Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support.
Disk:
Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation
Recommended: An SSD is recommended a full installation of all Math Works products may take up to 29 GB of disk space.
RAM:
Minimum: 4 GB
Recommended: 8 GB
Learning Outcomes
· Introduction to Matlab
· What is EISPACK & LINPACK
· How to start with MATLAB
· About Matlab language
· Matlab coding skills
· About tools & libraries
· Application Program Interface in Matlab
· About Matlab desktop
· How to use Matlab editor to create M-Files
· Features of Matlab
· Basics on Matlab
· What is an Image/pixel?
· About image formats
· Introduction to Image Processing
· How digital image is formed
· Importing the image via image acquisition tools
· Analyzing and manipulation of image.
· Phases of image processing:
o Acquisition
o Image enhancement
o Image restoration
o Color image processing
o Image compression
o Morphological processing
o Segmentation etc.,
· How to extend our work to another real time applications
· Project development Skills
o Problem analyzing skills
o Problem solving skills
o Creativity and imaginary skills
o Programming skills
o Deployment
o Testing skills
o Debugging skills
o Project presentation skills
o Thesis writing skills
Paper Publishing
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