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Smart Voting System With Face Recognition
By,
Nikhil Katte
NKOCET, Solapur
1
CONTENT
 Introduction
 System and System Architectures
 How it’s work?(Image Processing)
 conclusion
2
INTRODUCTION
3
 Now a days, every one is moving towards the digital India.
 Then why the voting system is still remained Manual ?
 So, for that facial recognition is the best way.
 This is the advance technique of voting.
 We can vote using our android (Smartphones) with the help of face
recognition.
SYSTEM (Application System)
 System Is mainly divided into three types:-
1. Server
2. Java Client (Registration Centre)
3. Android Client (Voter)
4
SYSTEM ARCHITECTURE
5
Contd…
6
How its work?(Image Processing)
 In this system, face recognition is playing main role for authentication. Live
image will be captured by mobile frontal camera. This captured image will be
sent to the server for further processing. By using this image, server checks
whether user is authorized or not. User is permitted for voting only if he is
authorized.
 Here the Standard algorithm is used for Face Recognition, which is explained
in next slide.
7
Contd...
 In facial recognition there are 2 types:-
1. VERIFICATION: The system compares the given individual with who
they say they are and gives a yes or no decision.
2. IDENTIFICATION- The system compares the given individual to all
the Other individuals in the database and gives a ranked list of
matches.
8
Contd…
9
Contd…
 Grayscale Algorithm
 Threshold Algorithm
 Blurring Algorithm
 Scaling Algorithm
 Template generation and Matching
10
CONCLUSION
This analysis of development of Smart-voting application on an android
platform. The usability of this system is very high if it will use in real life
election process. It will definitely helpful for the users who wish to vote and the
voting process will be made very easy by using this application. However, after
having tested the system, in future we tend to add additional functionality of
image validation for the security constraint and uniqueness which will provide
very strong security for the confidential information about vote.
11

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Smart Voting System with Face Recognition

  • 1. Smart Voting System With Face Recognition By, Nikhil Katte NKOCET, Solapur 1
  • 2. CONTENT  Introduction  System and System Architectures  How it’s work?(Image Processing)  conclusion 2
  • 3. INTRODUCTION 3  Now a days, every one is moving towards the digital India.  Then why the voting system is still remained Manual ?  So, for that facial recognition is the best way.  This is the advance technique of voting.  We can vote using our android (Smartphones) with the help of face recognition.
  • 4. SYSTEM (Application System)  System Is mainly divided into three types:- 1. Server 2. Java Client (Registration Centre) 3. Android Client (Voter) 4
  • 7. How its work?(Image Processing)  In this system, face recognition is playing main role for authentication. Live image will be captured by mobile frontal camera. This captured image will be sent to the server for further processing. By using this image, server checks whether user is authorized or not. User is permitted for voting only if he is authorized.  Here the Standard algorithm is used for Face Recognition, which is explained in next slide. 7
  • 8. Contd...  In facial recognition there are 2 types:- 1. VERIFICATION: The system compares the given individual with who they say they are and gives a yes or no decision. 2. IDENTIFICATION- The system compares the given individual to all the Other individuals in the database and gives a ranked list of matches. 8
  • 10. Contd…  Grayscale Algorithm  Threshold Algorithm  Blurring Algorithm  Scaling Algorithm  Template generation and Matching 10
  • 11. CONCLUSION This analysis of development of Smart-voting application on an android platform. The usability of this system is very high if it will use in real life election process. It will definitely helpful for the users who wish to vote and the voting process will be made very easy by using this application. However, after having tested the system, in future we tend to add additional functionality of image validation for the security constraint and uniqueness which will provide very strong security for the confidential information about vote. 11