Online Smart Voting System using Bio-Metrics based Facial and Finger Print Detection on Image Processing and CNN
Objective
In this method, we take images of the person’s face and finger-print and SVM and CNN will generate an identities for the respective images and comparison of those identities will takes place, finally, if those both identities will matches then, the respective person will be permitted for the voting and if not, the respective person will be blocked.
Abstract
Breaching of data of the votes and fake voting are common problems at a poling booth. To avoid such problems or to overcome those type of challenges we need to take care of everything is necessary but taking care of those many things and maintaining it without any breaching of the data, it becomes higher complexity and takes a lot of managing skills and security. So, to overcome these challenges and handling them with a care, we are implementing, Image Processing combined with Artificial Intelligence. The online smart voting system using Bio-metrics based facial and finger-print detection can be implemented for handling them at a better way. In this method, we take images of the person’s face and finger-print and SVM and CNN will generate an identities for the respective images and comparison of those identities will takes place, finally, if those both identities will matches then, the respective person will be permitted for the voting and if not, the respective person will be blocked.
Keywords: Data Breach, Bio-metrics, SVM, CNN.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Software: Matlab 2020a or above
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 MathWorks 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
Request Call Back
Would you like to receive a free callback now?
Choose the best time for callback:
Leave your message and we will contact you as soon as possible
6-2-85/B, Old Maternity Hospital Road, Thyagaraja Nagar, Tirupati, Andhra Pradesh – 517501
+91 9030333433
+91 9393939065
0877-2261612
Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
