Voting plays a very important role in any democratic country .Voting is the system where citizens choose and replace government by doing elections. Hence these elections must be accurate and transparent. When elections are happening there is need for lot of man power for completion of elections properly and with desired security. Although lot of man power is used in elections there is no guarantee that elections will be done with no fake votes. Sometimes there are chances that fake votes can be done. Also for voting voter has to go to the voting booth and stand in line for long time. Due to this the percentage of voting reduced in some amount. Currently used voting system consumes much time and it is a very hectic process. Application for Online Voting System using Android Device (AOVSAD) provides the facility of casting votes without visiting the booth to the voters. The facial recognition secures the system by allowing the authentic voter for voting. One time password (OTP) provides another level of security to the system. To avoid fake voting and for providing voter an extra comfort by doing vote from remote place so that voter inspired to cast his vote and voting percentage will increase phenomenally. Code Shoppy A new technique as Mobile based Facial Recognition can be implemented. This system provides extra bandwidth utilization for voting system.
Existing voting system is a major issue in our country and researchers have tried to prescribe various techniques to improve the system. The system presented by , is the electronic voting system using GSM mobile technology.
When ready to vote, the voter can send a message to GSM modem and can cast their vote after IVR authentication. This also presents a website voting system with system generated OTP and verification of iris. The system designed in , gives the overview of the online voting system using mobile application. It provides security keys like mobile face recognition and OTP verification. This approach proposed by , use PCA which is a standard method used for recognition of statistical design in order to reduce dimensionality and used for feature extraction from particular object that is it extracts important information in terms of pattern. It is used to preserve the important information of the pattern of the object and used to remove redundant information. The paper proposed by , the system utilizes the camera system on mobile devices; system identification can be done by a person using face recognition system. In this system, the facial recognition is done with the use of cloud computing. The paper by , one of the ways to prevent the password theft is to avoid using static password and to authenticate a user with One Time Password. Using instant messaging service available in internet, user will obtain OTP after image authentication. The image based authentication method relies on the user’s ability to recognize pre-chosen pictures. Some of the above approaches are developed and implemented separately. Some are good in security aspects but are not efficient to use with the current system. Some give an overview of the technologies that can be used to improve the conventional system but not the actual implementation. Available approaches have to be improved in security aspects and simplicity.The system we designed to overcome these flaws will mainly target the urban population.
The major problem that present in conventional voting system is that voters have to wait in queue for a long time to cast their vote. This is very hectic and time consuming and hence people avoid voting. The system proposed here is to voter can cast vote remotely from anywhere in the country with the help of an android application. To overcome the drawbacks of conventional voting system, we are proposing this project of internet voting with the use of facial recognition and one time password. This makes the current voting system more secure.
·The process of voting starts with android application which is installed on the smart phone of voter. The voter has to login with voter id which was assigned during registration. ·After proper login, the voter is asked to send his/her photo for face matching which is the first authentication stage.
·Face matching is performed at server side. If the face recognition is successful, the server will generate an OTP and it will be sent on the voter’s registered mobile number. Otherwise, if recognition is unsuccessful, the voter is asked to send the photo again and not allowed for further process until voter is authenticated with face recognition. ·Then Voter will be asked to provide the OTP sent on his/her mobile number. If OTP verification is successful, voter will be allowed for the voting process. Else server will send another OTP after some pre-decided time and again the same process will be repeated. This is the second authentication stage. ·At the end, the voter will be allowed to vote and that response will be submitted to the server. Counting of votes and results will happen at server side.
VI.RESULTS AND ANALYSIS