A Secure Online Voting System Using Face Recognition Technology

International Journal of Advanced Computer Science and Applications, 2013

In this research a Face Detection and Recognition system (FDR) used as an Authentication technique in online voting, which one of electronic is voting types, is proposed. Web based voting allows the voter to vote from any place in state or out of state. The voter's image is captured and passed to a face detection algorithm (Eigenface or Gabor filter) which is used to detect his face from the image and save it as the first matching point. The voter's National identification card number is used to retrieve and return his saved photo from the database of the Supreme Council elections (SCE) which is passed to the same detection algorithm (Eigenface or Gabor filter) to detect face from it and save it as second matching point. The two matching points are used by a matching algorithm to check wither they are identical or not. If the results of the matching algorithm are two point match then checks wither this person has the right to vote or not. If he has right to vote then a voting form is presented to him. The result shows that the proposed algorithm capable of finding over 90% of the faces in database and allows their voter to vote in approximately 58 seconds.

IJETT, 2019

Image processing is a process, method, technology which is used to perform some operations on an image, in order to get an upgrade image or to extract some useful information from it. In urban region voting is the major issue, identification of person is most important. Sometime people can use fake voter identity for voting. For avoiding this problem we have to develop a system which can identify the face of person and check in present database if face is match in that point the system can return output as UID of the person. After verification of valid face and UID the voter can enter to vote. Data will be store at only one place, so winning party information can be announced within short time period..

In this research a Face Detection and Recognition system (FDR) used as an Authentication technique in online voting, which one of electronic is voting types, is proposed. Web based voting allows the voter to vote from any place in state or out of state. The voter's image is captured and passed to a face detection algorithm (Eigenface or Gabor filter) which is used to detect his face from the image and save it as the first matching point. The voter's National identification card number is used to retrieve and return his saved photo from the database of the Supreme Council elections (SCE) which is passed to the same detection algorithm (Eigenface or Gabor filter) to detect face from it and save it as second matching point. The two matching points are used by a matching algorithm to check wither they are identical or not. If the results of the matching algorithm are two point match then checks wither this person has the right to vote or not. If he has right to vote then a voting form is presented to him.

2020

Face recognition is a class of biometric security which works by coordinating the facial features. It assists with making sure about the voter, by utilizing the face recognition strategy. In this proposed system, Haar Cascade algorithm is utilized for face recognition which utilizes Haar-Like features to coordinate the face. Haar Cascade is an object detection algorithm. In this proposed system there are three degrees of confirmations. The first is user id confirmation and second is for the voter card number. In the event if the voter passed the two degrees of confirmation, at that point he/she enters to next degree of checks. The third degree of confirmation incorporates the utilization of face recognition. This is the fundamental security level to confirm the voter is legitimate or not. Index Terms Haar-Like features, Object detection, Face recognition, Biometric security, Rectangular frame.

Data will be store at only one place, so winning party information can be announced within short time period.

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

Since, India being the largest democracy in the world. Still uses voting machines to hold elections, which comes with high costs and manual labour. But voting plays a crucial role in the election of high-ranking government officials and reflects our view of how a governing body should be formed. Investigations are conducted from time to time to troubleshoot the central voting system, increasing anonymity, credibility and security while preventing all types of fraud. In this paper, there is an implementation of a method that uses deep learning techniques which develops a smart voting system. Due to its advanced features, most researchers follow and use the Boosted Cascade framework. The enhanced Cascade Framework features help you calculate and build a classifier that works more accurately. However, this accuracy rate requires a large number of Cascade Stages to help reduce similar performance with the detection and recognition accuracy. This provides protection in the sense that the most secure voter password is verified before a vote is received on the main database of the Indian Electoral Commission and voters can verify that his or her vote has reached to correct participant of election. The votes counting is done automatically, thus saving a lot of time and the results can be announced in a very short time by the Indian Electoral Commission. The user verification process is enhanced by adding a face recognition to the app that will determine whether the voter is a certified user or not.

Manual voting system has been deployed for many years in our country. However in many parts of our country people cannot attend the voting because of several reasons. In order to solve these problems there is a need of online election voting system in addition to manual voting system. The long-term goal of this project is to greatly reduce the cost and complexity of running elections and increase the accuracy of results by removing the direct involvement of humans in gathering and counting of votes. The voters will be able to give their votes at any field areas by using the system if they prefer online voting

International Journal of Advanced Research in Science, Communication and Technology, 2023

Electronic voting (also known as electronic voting) refers to the use of electronic means to vote and to record and accurately count votes sent by users. Electronic voting systems must be secure, as they must not allow duplicate votes and be completely transparent, while protecting the privacy of participants. The disadvantage of the traditional voting system is that voting is not reliable and voters do not change until they are registered in the system. There is no transparency between the voters and the system. Electronic voting can be very useful because anyone can easily access the poll and cast their vote and express their choice. People can share a private link to the created poll (as long as they know the link) and the person with the link can vote and only one vote can be used per browser. In this proposed system, we design and develop a web-based application using python and flask framework for an online audio system using Face Recognition and Blockchain Technology with a d...

Voting is the fundamental right for every nation. An Electronic Voting (E-Voting) system is a voting system in which the election process is notated, saved, stored and processed digitally, that makes the voting management task better than traditional paper based method. However, security remains the bottleneck of each system. Therefore, the need of designing a secure e-voting system is very important. This paper introduced a secure e-voting web application. Depending on secure voter authentication using biometrics besides steganography and cryptosystem. A local neighborhood intensity pattern of feature descriptor method is used to identify the allowable and authorized voters. RSA public key algorithm is proposed to encrypt a voter choice, then based on a secret key dedicated to each voter with the input voter instant image the encrypted data with RSA algorithm is encrypted again before casting to the server using spread spectrum steganography technique.

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2021

In this paper a new authentication technique is discussed i-e; facial recognition verification for online voting system. It aims to develop a computerized voting system to make the election process more secure and user friendly. The electorate want to visit distinct locations like polling cubicles and stand in an extended queue to cast their vote, because of such reasons most of the people skip their chance of voting. The voter who isn't eligible also can forged its vote via way of means of faux way which can also additionally cause many problems. That's why in this project we have proposed a system or way for voting which is very effective or useful in voting. This system can also save money of the government which is spent in the election process. Overall this project is being developed to help staff of election commission of India and also reduce the human efforts.